Masaaki Nagahara Professor, The University of Kitakyushu, Japan
Email: nagahara@ieee.org
URL: nagahara-masaaki.github.io
Hibikino 1-1, Wakamatsu, Kitakyushu, Fukuoka, 808-0135, JAPANSummaryProf. Masaaki Nagahara received the bachelor’s degree in engineering from Kobe University
in 1998, and the master’s degree and the Doctoral
degree in informatics from Kyoto University in2000 and 2003, respectively, under the supervisionof Prof. Yutaka Yamamoto. He is currently a Professor with the Institute of Environmental Scienceand Technology, The University of Kitakyushu. He
has been also a Visiting Professor with IIT Bombay(2016–2021) and IIT Guwahati (2020–).
He received two remarkable international
awards: George S. Axelby Outstanding Paper
Award in 2018 and Transition to Practice Award in
2012, from the IEEE Control Systems Society. Also,
he received many awards from Japanese researchsocieties such as SICE Young Authors Award in
1999, SICE Best Paper Award in 2012, SICE BestBook Authors Awards in 2016 and 2021, SICE Control Division Research Award (Kimura Award) in
2020, and the Best Tutorial Paper Award from the
IEICE Communications Society in 2014.

His research interests include systems and control theory, machine learning, signal processing,and their applications to drones, autonomous vehicles, and energy management systems. He is author or co-author of more than 100 publications in
top journals (e.g. IEEE Trans. on Automatic Control, IEEE Trans. on Signal Processing, Automatica, etc) and top conferences (e.g. IEEE CDC, IEEEICASSP, IFAC WC, etc). He has given more than 50
Plenary/Invited/Tutorial lectures. He successfully
conducted research teams as the principal investigator with funded grants mainly from Japanese
government (MEXT). He has 5 granted patens by
the USPTO for audio/image processing systems
and power systems.
He is a senior member of the IEEE. He has
been serving as AE for Conference Editorial Board,IEEE Control Systems Society (2013–), AE of Asian
Journal of Control (2019–), and AE of Advanced
Robotics (2021–), to name a few.

Fields of Interest
Systems and control theory and applications, machine learning and control, signal processing, autonomous drones and vehicles, energy management systems

Education• March 2003: PhD (Informatics) Kyoto University, Japan
Thesis Title: Multirate digital signal processing via sampled-data H ∞ optimization
Advisor: Prof. Yutaka Yamamoto• March 2000: Master’s Degree (Informatics) Kyoto University, Japan• March 1998: Bachelor’s Degree (Engineering), Kobe University, Japan

Current and Previous Academic Positions• April 2016–present: Professor
Institute of Environmental Science and Technology, The University of Kitakyushu, Japan• October 2016–present: Visiting Professor
Systems & Control Engineering (SysCon), Indian Institute of Technology (IIT) Bombay,
India• October 2012–March 2016: Senior Lecturer
Graduate School of Informatics, Kyoto University, Japan• April 2007–October 2012: Assistant Professor
Graduate School of Informatics, Kyoto University, Japan• April 2005–August 2012: Adjunct Lecturer
School of Engineering Science, Osaka University, Japan• April 2003–March 2007: Associate Researcher
Graduate School of Informatics, Kyoto University, Japan

Short-term Positions• As a visiting researcher, I have visited Indian Institute of Technology Bombay (India), Indian
Institute of Technology Hyderabad (India), Indian Institute of Technology Kharagpur (India),
Paderborn University (Germany), Technical University of Berlin (Germany), University of Newcastle (Australia), Aalborg University (Denmark), and Texas Tech University (USA).

AwardsInternational Awards• Best Paper Award in Automation in 2021 IEEE International Conference on Mechatronics andAutomation (IEEE ICMA 2021), Aug, 2021 for the following paper:– K. Motonaka, T. Watanabe, Y. Kwon, M. Nagahara, and S. Miyoshi, Application of maximum
hands-off distributed control to a quadrotor group, IEEE ICMA, Aug. 2021.
• George S. Axelby Outstanding Paper Award in 2018 from the IEEE Control Systems Society forthe following published paper:– M. Nagahara, D. E. Quevedo, and D. Nesic, Maximum Hands-off Control: A Paradigm ofControl Effort Minimization, IEEE Transactions on Automatic Control, Vol. 61, No. 3, pp. 735747, 2016.
This is an international award, which is annually presented to the best paper (in the two recent
years) in the leading journal IEEE Transactions on Automatic Control.
• Outstanding Reviewer in 2015 from Automatica, A Journal of IFAC, for outstanding performanceas individual has shown as a reviewer, during the period of 2013–2014.
• Senior member of IEEE in 2014 presented by the IEEE. Senior member is the highest grade forwhich IEEE members can apply.

• Transition to Practice Award in 2012 from the IEEE Control Systems Society for the introduction
and development of the sound-processing technology incorporated in a large number of LSI chips
by SANYO Semiconductor. This is an international award, which is annually presented to a distinguished contributor to the transition of control and systems theory to practical, industrial, orcommercial systems.

Domestic Awards (Japan)• Best Book Authors Award in 2021 from the SICE for the published book– M. Nagahara, K. Okano, M. Ogura, and M. Wakaiki, Networked Control, Corona Publishing,2019.
• Hidenori Kimura Award in 2020 from SICE Control Division Research Award for the publishedpaper– M. Nagahara, D. E. Quevedo, and D. Nesic, Maximum Hands-off Control: A Paradigm ofControl Effort Minimization, IEEE Transactions on Automatic Control, Vol. 61, No. 3, pp. 735747, 2016.
This is a Japanese national award, which is annually presented to the most outstanding research
paper in the ﬁeld of control systems.
• Best Book Authors Award in 2016 from the SICE for the published book
– S. Azuma, M. Nagahara, H. Ishii, N. Hayashi, K. Sakurama, and T. Hatanaka, Control of Multiagent Systems, Corona Publishing, 2015.
• Best Tutorial Paper Award in 2014 from the IEICE Communications Society for the quality of thefollowing tutorial paper:– K. Hayashi, M. Nagahara, and T. Tanaka, A User’s Guide to Compressed Sensing for Communications Systems, IEICE Trans. on Communications, Vol. E96-B, No. 3, pp. 685-712, Mar.
2013.
This award is annually presented to the best-quality tutorial paper published in the journal.
• Best Paper Award in 2012 from the SICE for the quality of a research paper, “H ∞ design of periodically nonuniform interpolation and decimation for non-band-limited signals,” published in SICE
Journal of Control, Measurement, and System Integration. This award is annually presented tohigh-quality papers published in the journal.
• Young Authors Award in 1999 from SICE. This award is to recognize outstanding young individuals who submit high quality paper in the activities of SICE (symposium, lecture meeting, etc.).

Collaborators from Outside Japan• Australia: Prof. Daniel E. Quevedo (Queensland University of Technology), Prof. Dragan Nešić
(The University of Melbourne), Prof. Brian D. O. Anderson (Australian National University)• India: Prof. Dabasish Chatterjee (Indian Institute of Technology Bombay), Prof. Srikant Sukumar(Indian Institute of Technology Bombay), Prof. D. Manjunath (Indian Institute of Technology Bombay), Prof. Mathukumalli Vidyasagar (Indian Institute of Technology Hyderabad)• United States: Prof. Pramod P. Khargonekar (University of California Irvine), Prof. Clyde F.
Martin (Texas Tech University), Prof. Bhaskar Krishnamachari (University of Southern California) Prof. Antonio Ortega (University of Southern California) Prof. Thomas Valente (University ofSouthern California)• Europe: Prof. Moritz Schulze Darup (University of Paderborn, Germany), Prof. Jan Østergaard(Aalborg University, Denmark)Collaboration with Industry• Toyota, topic: engine control (2017–2018)• Kitayushu Power, topic: energy management (2017)• Fujitsu Laboratories, Japan, topic: machine learning (2016–2018)• Panasonic, topic: power systems (2008–2016)

Publications
Books (written in English)
1. M. Nagahara, Sparsity Methods for Systems and Control, Now Publishers, 2020.
https://www.nowpublishers.com/Article/BookDetails/9781680837247
Books (written in Japanese)
1. Y. Fujimoto and M. Nagahara, Fundamentals of Linear System Identiﬁcation, Corona Publishing, 2021.
ISBN 978-4339014037
2. M. Nagahara, K. Okano, M. Ogura, and M. Wakaiki, Networked Control, Corona Publishing, 2019.
ISBN 978-4-339-03227-7
3. M. Kawata, S. Azuma, H. Ichikawa, T. Urakubo, T. Ohtsuka, T. Kai, S. Kunimatsu, K. Sawada, M.
Nagahara, and H. Minami, Control Engineering Learned with Inverted Pendulums, Morikita Publishing, 2017. ISBN 978-4627792210
4. M. Nagahara, Sparse Modeling, Corona Publishing, 2016. ISBN 978-4-339-03222-2
5. S. Azuma, M. Nagahara, H. Ishii, N. Hayashi, K. Sakurama, and T. Hatanaka, Control of Multi-agent
Systems, Corona Publishing, 2015. ISBN 978-4-339-03322-9
Book Chapters
1. M. Nagahara and Y. Yamamoto, Sparse Representation for Sampled-data H ∞ Filters, Athanasios
Antoulas 70th Festschrift, Springer, 2020. (to be published)
2. Y. Yamamoto and M. Nagahara, Digital Control, Wiley Encyclopedia of Electrical and Electronics Engineering, J. G. Webster (Ed.), Wiley, Feb. 2018. Online ISBN: 9780471346081
3. K. Yamamoto, Y. Yamamoto, and M. Nagahara, Hypertracking Beyond the Nyquist Frequency,
Emerging Applications of Control and Systems Theory, A Festschrift in Honor of M. Vidyasagar, pp.
369-379, Springer, 2018. ISBN 978-3-319-67068-3

4. M. Nagahara, K. Hamaguchi, and Y. Yamamoto, Active noise control with sampled-data ﬁlteredx adaptive algorithm, Mathematical System Theory, A Festschrift in Honor of Uwe Helmke on the
Occasion of his Sixtieth Birthday, pp. 275-290, CreateSpace, 2013. ISBN 978-1470044008
5. M. Nagahara, Min-max design of FIR digital ﬁlters by semideﬁnite programming, Applications ofDigital Signal Processing, pp. 193-210, InTech, Nov. 2011. ISBN 978-953-307-406-1
6. M. Nagahara, YY ﬁlter — a paradigm of digital signal processing, Perspectives in Mathematical
System Theory, Control, and Signal Processing, pp. 331-340, Springer, 2010. ISBN 978-3-540-93917-7
7. M. Nagahara, Sound source separation, Audio signal compression, Synthesizer, Digital signal processing, Encyclopedia of Sound, Maruzen, 2006. (in Japanese) ISBN 978-4621076606
8. Y. Yamamoto and M. Nagahara, Digital ﬁlter design via sampled-data control theory, Control andModeling of Complex Systems: Cybernetics in the 21st Century, pp. 31-43, Birkhauser, Dec. 2002. ISBN
978-1-4612-0023-9
Journal Articles
1. M. Nagahara, Sparse control for continuous-time systems, International Journal of Robust and Nonlinear Control, 2021 (accepted)
2. K. Motonaka, T. Watanabe, Y. Kwon, M. Nagahara, and S. Miyoshi, Control of a quadrotor groupbased on maximum hands-off distributed control, International Journal of Mechatronics and Automation, 2021 (accepted)
3. M. S. Darup, G. Book, D. E. Quevedo, and M. Nagahara, Fast hands-off control using ADMM
real-time iterations, IEEE Transactions on Automatic Control, 2021 (accepted)
4. T. Ikeda and M. Nagahara, Resource-aware time-optimal control with multiple sparsity measures,
Automatica, 2021 (accepted)
5. Y. Kumar, S. Sukumar, D. Chatterjee, and M. Nagahara, Necessary conditions for sparse optimal
control problems with intermediate constraints, Optimal Control, Applications and Methods, 2021
(accepted)
6. T. Ikeda, M. Nagahara, D. Chatterjee, and S. Srikant, Constrained smoothing splines by optimal
control, IEEE Control Systems Letters, Vol. 6, pp. 1298–1303, Jun. 2021.
7. M. Nagahara, M. Ogura, Y. Yamamoto, Iterative greedy LMI for sparse control, IEEE Control Systems Letters, Vol. 6, pp. 986–991, Jun. 2021.
8. M. Nagahara, B. Krishnamachari, M. Ogura, A. Ortega, Y. Tanaka, Y. Ushifusa, and T. Valente,
Control, intervention, and behavioral economics over human social networks against COVID-19,
Advanced Robotics, vol. 35, no. 11, pp. 733–739, 2021.
9. S. Azuma and M. Nagahara, Majority determination in binary-valued communication networks,
IEEE Transactions on Control of Network Systems, Vol. 8, No. 2, June 2021.
10. T. Ikeda and M. Nagahara, Maximum hands-off control with time-space sparsity, IEEE Control
Systems Letters, Vol. 5, No. 4, pp. 1213–1218, Oct. 2020.
11. Y. Fujimoto, T. Tokushige, and M. Nagahara, Bayesian LPV-FIR identiﬁcation of wheelchair dynamics and its application to feedforward control, SICE Journal of Control, Measurement, and System
Integration, 2020.

12. M. Nagahara, D. Chatterjee, N. Challapalli, and M. Vidyasagar, CLOT norm minimization forcontinuous hands-off control, Automatica, Vol. 113, pp. 108679, 2020.
13. K. Nakashima, T. Matsuda, M. Nagahara, and T. Takine, Control vector selection for extended
packetized predictive control in wireless networked control systems, IEICE Trans. Communications,Vol. E103-B, No. 7, Jul 2020.
14. K. Nakashima, T. Matsuda, M. Nagahara, and T. Takine, Multihop TDMA-based wireless networked control systems robust against bursty packet losses: a two-path approach, IEICE Transactions on Communications, Vol. E103-B, No. 3, pp. 200–210, Mar. 2020.
15. H. Sasahara, M. Nagahara, K. Hayashi, and Y. Yamamoto, Self-Interference Suppression based on
Sampled-Data H ∞ Control for Baseband Signal Subspaces, SICE Journal of Control, Measurement,
and System Integration, Vol. 12, No. 5, pp. 182-189, Sept 2019
16. T. Ikeda, M. Nagahara, and K. Kashima, Maximum Hands-off Distributed Control for Consensus ofMulti-Agent Systems with Sampled-data State Observation, IEEE Transactions on Control of Network
Systems, Vol. 6, No. 2, pp. 852-862, June 201917. T. Ikeda and M. Nagahara, Time-Optimal Hands-off Control for Linear Time-Invariant Systems,
Automatica, Vol. 99, pp. 54-58, 201918. N. Hayashi and M. Nagahara, Distributed Proximal Minimization Algorithm for Constrained Convex Optimization over Strongly Connected Networks, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E102-A, No. 02, Feb. 2019.
19. S. Ohno, Y. Ishihara, and M. Nagahara, Min-Max Design of Error Feedback Quantizers without
Overloading, IEEE Transactions on Circuits and Systems I: Regular Papers, Vol. 65, No. 4, pp. 13951405, Apr. 2018
20. T. Ikeda and M. Nagahara, Discrete-valued Model Predictive Control using Sum-of-AbsoluteValues Optimization, Asian Journal of Control, Vol. 20, No. 1, pp. 196-206, 2018
21. S. Ohno, T. Shiraki, M. R. Tariq, and M. Nagahara, Mean Squared Error Analysis of Quantizers
with Error Feedback, IEEE Transactions on Signal Processing, Vol. 65, No. 22, pp. 5970-5981, Nov.
2017
22. H. Sasahara, K. Hayashi, and M. Nagahara, Multiuser Detection based on MAP Estimation with
Sum-of-Absolute-Values Relaxation, IEEE Transactions on Signal Processing, vol. 65, no. 21, pp.
5621-5634, Nov. 2017.
23. T. Ikeda, M. Nagahara, and S. Ono, Discrete-Valued Control of Linear Time-Invariant Systems by
Sum-of-Absolute-Values Optimization, IEEE Transactions on Automatic Control, Vol. 62, No. 6, pp.
2750-2763, June 2017.
24. N. Hayashi, M. Nagahara, and Y. Yamamoto, Robust AC Voltage Regulation of Microgrids in
Islanded Mode with Sinusoidal Internal Model, SICE Journal of Control, Measurement, and System
Integration, Vol. 10, No. 2 p. 62-69, 2017.
25. H. Sasahara, K. Hayashi and M. Nagahara, Symbol Detection for Faster-Than-Nyquist Signaling by
Sum-of-Absolute-Values Optimization, IEEE Signal Processing Letters, vol. 23, no. 12, pp. 1853-1857,
Dec. 2016.
26. M. Nagahara, J. Ostergaard, D. E. Quevedo, Discrete-time hands-off control by sparse optimization,
EURASIP Journal on Advances in Signal Processing, 2016:76, Dec. 2016.

27. D. Chatterjee, M. Nagahara, D. E. Quevedo, and K. S. M. Rao, Characterization of maximum
hands-off control, Systems & Control Letters, vol. 94, pp. 31-36, Aug. 2016.
28. M. Nagahara and Y. Yamamoto, Digital repetitive controller design via sampled-data delayed signal reconstruction, Automatica, Vol. 65, pp. 203–209, 2016.
29. T. Ikeda and M. Nagahara, Value function in maximum hands-off control for linear systems, Automatica, vol. 64, pp. 190-195, Feb. 2016
30. M. Nagahara, D. E. Quevedo, and D. Nesic, Maximum hands-off control: a paradigm of control
effort minimization, IEEE Transactions on Automatic Control Vol. 61, No. 3, pp. 735–747, 2016.
31. M. Nagahara, Discrete Signal Reconstruction by Sum of Absolute Values, IEEE Signal Processing
Letters, Vol. 22, no. 10, pp. 1575-1579, Oct. 2015.
32. H. Sasahara, M. Nagahara, K. Hayashi, and Y. Yamamoto, Digital Cancelation of Self-Interference
for Single-Frequency Full-Duplex Relay Stations via Sampled-Data Control, SICE Journal of Control,
Measurement, and System Integration, Vol. 8, No. 5, pp. 321-327, 2015.
33. M. Nagahara and C. F. Martin, L1 Control Theoretic Smoothing Splines, IEEE Signal Processing
Letters, vol. 21, no. 11, pp. 1394-1397, Nov. 2014.
34. M. Nagahara, D. E. Quevedo, and J. Østergaard, Sparse Packetized Predictive Control for Networked Control over Erasure Channels, IEEE Transactions on Automatic Control Vol. 59, No. 7,
pp. 1899–1905, July 2014.
35. M. Nagahara and Y. Yamamoto, H ∞ -optimal fractional delay ﬁlters, IEEE Transactions on Signal
Processing Vol. 61, No. 18, pp. 4473–4480, 2013.
36. M. Nagahara and C. F. Martin, Monotone Smoothing Splines Using General Linear Systems, Asian
Journal of Control, Vol. 5, No. 2, pp. 461-468, Mar. 2013.
37. K. Hayashi, M. Nagahara, and T. Tanaka, A User’s Guide to Compressed Sensing for Communications Systems, invited paper, IEICE Trans. on Communications, Vol. E96-B, No. 3, pp. 685-712, Mar.
2013.
38. M. Nagahara and Y. Yamamoto, Frequency domain min-max optimization of noise-shaping deltasigma modulators, IEEE Transactions on Signal Processing Vol. 60, No. 6, pp. 2828–2839, 2012.
39. Y. Yamamoto, M. Nagahara and P. P. Khargonekar, A Brief Overview of Signal Reconstruction via
Sampled-Data H ∞ Optimization, Applied and Computational Mathematics, Vol. 11, No. 1, pp. 3-18,
2012.
40. M. Nagahara, T. Matsuda, and K. Hayashi, Compressive Sampling for Remote Control Systems,
IEICE Trans. on Fundamentals, Vol. E95-A, No. 4, pp. 713-722, Apr. 2012.
41. Y. Yamamoto, M. Nagahara, and P. P. Khargonekar, Signal Reconstruction via H ∞ Sampled-Data
Control Theory — Beyond the Shannon Paradigm, IEEE Transactions on Signal Processing, Vol. 60,
No. 2, pp. 613-625, Feb. 2012.
42. T. Matsuda, M. Nagahara, and K. Hayashi, Link quality classiﬁer with compressed sensing basedon l1-l2 optimization, IEEE Communications Letters, vol. 15, no. 10, pp. 1117-1119, Oct. 2011.
43. M. Nagahara, M. Ogura, and Y. Yamamoto, H ∞ design of periodically nonuniform interpolationand decimation for non-band-limited signals, SICE Journal of Control, Measurement, and System Integration, Vol. 4, No. 5, pp. 341-348, 2011.

44. M. Nagahara and Y. Yamamoto, H ∞ optimal approximation for causal spline interpolation, Signal
Processing, Vol. 91, No. 2, pp. 176-184, 2011.
45. K. Kashima, Y. Yamamoto and M. Nagahara, Optimal wavelet expansion via sampled-data control
theory, IEEE Signal Processing Letters, Vol. 11, Issue 2, pp. 79-82, 2004.
46. Y. Yamamoto, B. D. O. Anderson, M. Nagahara and Y. Koyanagi, Optimizing FIR approximation
for discrete-time IIR ﬁlters, IEEE Signal Processing Letters, Vol. 10, Issue 9, pp. 273-276, 2003.
Journal Articles (written in Japanese)
1. K. Tsuruta, Y. Ogawa, Y. Shiraishi, and M. Nagahara, Proposal of optimal control method for TABS
by the combined use of model predictive control and sparse modeling, J. Environ. Eng., AIJ, Vol. 86,
No. 784, pp. 629–637, Jun. 2021.
2. Y. Fujimoto, T. Tokushige, and M. Nagahara, LPV-FIR Modeling of Wheelchair Dynamics and Its
Application to Model Predictive Control, SICE Transactions, Vol. 57, No. 3, 2021.
3. T. Iwata, Y. Oishi, and M. Nagahara, Realization of sparse control using the model predictive
control scheme, SICE Transactions, Vol. 56, No. 3, 2020.
4. S. Miyazaki, T. Kudoh, M. Nagahara, N. Hayashi, and Y. Yamamoto, Power Balancing Control for
Energy Management Systems, Panasonic Technical Journal, Vol. 57, No. 4, pp. 17-22, Jan. 2012.
5. M. Nagahara, Y. Yamamoto, Sampled-data H ∞ design for digital communication systems, Transactions of ISCIE, Vol. 16, No. 1, pp. 38-43, 2003.
6. Y. Wakasa, D. Yasufuku, M. Nagahara and Y. Yamamoto, Sampled-data design of interpolators
using the cutting-plane method, SICE Transactions, Vol. 38, No. 5, pp. 462-468, 2002.
7. M. Nagahara and Y. Yamamoto, Sampled-data H ∞ design of interpolators, Transactions of ISCIE,
Vol. 14, No. 10, pp. 483-489, 2001.
Refereed Conference Proceedings
1. T. Ikeda, M. Nagahara, D. Chatterjee, and S. Srikant, Constrained smoothing splines by optimal control, IEEE L-CSS presentation, 60th IEEE Conference on Decision and Control (CDC2021),
Dec. 2021. (to be presented)
2. M. Nagahara, M. Ogura, Y. Yamamoto, Iterative greedy LMI for sparse control, IEEE L-CSS presentation, 60th IEEE Conference on Decision and Control (CDC2021), Dec. 2021. (to be presented)
3. K. Motonaka, T. Watanabe, Y. Kwon, M. Nagahara, and S. Miyoshi, Application of maximum
hands-off distributed control to a quadrotor group, IEEE International Conference on Mechatronics
and Automation (IEEE ICMA 2021), Aug. 2021.
4. M. Nagahara, Control and intervention over human social networks in COVID-19, IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO), 2021.
5. T. Ikeda and M. Nagahara, Maximum hands-off control with time-space sparsity, L-CSS presentation, 2021 American Control Conference (ACC), 2021.
6. Z. Zhang and M. Nagahara, Linear quadratic tracking control with sparsity-promoting regularization, 2021 American Control Conference (ACC), 2021.

7. M. Nagahara and D. Nesic, An Approach to Minimum Attention Control by Sparse Derivative,
59th IEEE Conference on Decision and Control (CDC2020), 2020.
8. N. Sakamoto and M. Nagahara, The turnpike property in the maximum hands-off control, 59th
IEEE Conference on Decision and Control (CDC2020), 2020.
9. Y. Kumar, S. Sukumar, M. Nagahara, D. Chatterjee, and D. E. Quevedo, Maximum hands-off feedback control for ﬁnite-time stabilization, 59th IEEE Conference on Decision and Control (CDC2020),
2020.
10. M. Nagahara, M. S. Darup, and D. Quevedo, Discrete-time hands-off feedback control with realtime optimization, 24th International Symposium on Mathematical Theory of Networks and Systems (MTNS2020; postponed)
11. M. Nagahara, Mathematical properties of maximum hands-off control, International Conference onControl, Automation and Systems (ICCAS2020), 2020.
12. K. Kunida and M. Nagahara, Application of maximum hands-off control to cellular metabolic
oscillation, 21st IFAC World Congress, 2020.
13. M. Nagahara and Y. Yamamoto, Sparse representation of feedback ﬁlters in delta-sigma modulators, 21st IFAC World Congress, 2020.
14. Y. Yamamoto, K. Yamamoto, and M. Nagahara, Hypertracking: a new approach to signals beyond
the Nyquist frequency - a brief overview, 21st IFAC World Congress, 2020.
15. M. Kishida, M. Nagahara, and D. Chatterjee, Discrete-time maximum hands-off control with minimum switches, 2019 IEEE Conference on Decision and Control (CDC), pp. 529-534, Nice, France, 11
Dec 2019.
16. S. Azuma and M. Nagahara, Majority determination on binary-valued communication networks,
2019 IEEE Conference on Decision and Control (CDC), pp. 885-889, Nice, France, 11 Dec 2019.
17. M. Barforooshan, M. Nagahara, and J. Ostergaard, Sparse packetized predictive control over communication networks with packet dropouts and time delays, 2019 IEEE Conference on Decision andControl (CDC), pp. 8272-8277, Nice, France, 13 Dec 2019.
18. K. Nakashima, T. Matsuda, M. Nagahara, and T. Takine, Control Vector Selection with State
Clustering for Wireless Networked Control Systems, IEEE 90th Vehicular Technology Conference(VTC2019-Fall), Honolulu, Hawaii, USA, pp.1-5, 22-25 September 2019.
19. Y. Fujimoto, T. Tokushige, M. Nagahara, Bayesian LPV-FIR identiﬁcation of wheelchair dynamics,
SICE Annual Conference, Hiroshima, 12 Sept, pp. 1036-1039, 2019.
20. Y. Fujimoto, F. Abe, M. Nagahara, Room impulse response estimation with kernel-based regularization, SICE Annual Conference, Hiroshima, 11 Sept, pp. 528-531, 2019.
21. S. M. Rayyan and M. Nagahara, State-Space Realization of Linear Time-Invariant Systems with
Maximum Measure of Quality, 12th Asian Control Conference (ASCC), pp. 1376-1379, 12 June 2019.
22. M. Nagahara and D. Chatterjee, Continuity of the Combined L1 -L2 Optimal Control for Linear
Systems, 5th Indian Control Conference (ICC), pp. 506-509, Delhi, Jan, 2019.
23. Y. Yamamoto, K. Yamamoto, and M. Nagahara, Sampled-data Filters with Compactly Supported
Acquisition Preﬁlters, 2018 IEEE Conference on Decision and Control (CDC), pp. 6650-6655, Miami
Beach, 19 Dec 2018.

24. M. Kishida, M. Barforooshan, and M. Nagahara, Maximum Hands-Off Control for Discrete-timeLinear Systems Subject to Polytopic Uncertainties, 7th IFAC Workshop on Distributed Estimation andControl in Networked Systems (NecSys2018), pp. 355-360, Groningen, Aug. 2018.
25. K. Fujimoto, J. Muramatsu, and M. Nagahara, Dynamical Model of Overconﬁdence Phenomena
Due to ZE-type Conﬁrmation Bias, IEEE International Conference on Systems, Man, and Cybernetics(SMC2018), 7-10 Oct 2018.
26. M. Nagahara and D. Chatterjee, Optimal Control with Sparsity Constraints in the Frequency Domain, SICE Annual Conference, pp. 398-400, Nara, 12 Sept, 2018.
27. N. Hayashi and M. Nagahara, Consensus-Based Distributed Event-Triggered Sparse Modeling,
SICE Annual Conference, pp. 1801-1805, Nara, 14 Sept, 2018.
28. K. Nakashima, T. Matsuda, M. Nagahara, and T. Takine, Control Vector Selection with Delay
Estimation in Wireless Networked Control Systems, IEEE International Conference on Consumer Electronics, Taichung, Taiwan, pp. 81-82, 19-21 May 2018.
29. K. Yamamoto, M. Nagahara, Y. Yamamoto, Signal Reconstruction with Generalized Sampling, 56th
IEEE Conference on Decision and Control (CDC2017), Melbourne, Australia, Dec. 12-15, 2017.
30. M. Nagahara, S. Takahashi, H. Higuchi, and T. Takebayashi, Sparse Optimization of Physical Distribution Systems based on Maximum Hands-off Control, 2017 International Symposium on Nonlinear
Theory & Its Applications (NOLTA2017), Cancun, Mexico, Dec. 4-7, 2017.
31. K. Nakashima, T. Matsuda, M. Nagahara, and T. Takine, Cross-Layer Design of an LQG Controller
in Multihop TDMA-Based Wireless Networked Control Systems, IEEE 28th Annual International
Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), Montreal, QC, Canada,
October 8-13, 2017.
32. M. Nagahara, N. Challapalli, and M. Vidyasagar, CLOT Optimization for Distributed Hands-Off
Control with Continuity, SICE Annual Conference, Sept. 21, 2017.
33. K. Yamamoto, Y. Yamamoto, and M. Nagahara, Hypertracking Beyond the Nyquist Frequency,
Emerging Applications of Control and System Theory (EACST 2017), Dallas, Texas, USA, Sept. 2017.
34. K. Yamamoto, Y. Yamamoto, and M. Nagahara, Simultaneous rejection of signals below and above
the Nyquist frequency, 1st IEEE Conference on Control Technology and Applications (CCTA), Hawaii,
USA, Aug. 29, 2017.
35. N. Challapalli, M. Nagahara, and M. Vidyasagar, Continuous Hands-off Control by CLOT Norm
Minimization, 20th IFAC World Congress 2017, pp. 15019-15024, Toulouse, France, July 14, 2017.
36. H. Sasahara, K. Hayashi, M. Nagahara, Symbol Detection for Faster-than-Nyquist Signaling by
Sum-of-Absolute-Values Optimization, 42nd IEEE International Conference on Acoustics, Speech andSignal Processing (ICASSP 2017), 2017.
37. S. Ohno, T. Shiraki, M. R. Tariq, M. Nagahara, Rate-distortion analysis of delta-sigma modulators,
42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017), 2017.
38. Y. Yamamoto, K. Yamamoto and M. Nagahara, Tracking of signals beyond the Nyquist frequency,
55th IEEE Conference on Decision and Control (CDC), Las Vegas, NV, 2016, pp. 4003-4008.
39. T. Ikeda, M. Nagahara and K. Kashima, Consensus by maximum hands-off distributed control withsampled-data state observation, 55th IEEE Conference on Decision and Control (CDC), Las Vegas, NV,
2016, pp. 962-966.

40. M. R. Tariq, S. Ohno and M. Nagahara, Synthesis of IIR error feedback ﬁlters for ∆Σ modulators
using approximation, 2016 Asia-Paciﬁc Signal and Information Processing Association Annual Summit
and Conference (APSIPA), Jeju, 2016.
41. R. Hayakawa, K. Hayashi, H. Sasahara, and M. Nagahara, Massive Overloaded MIMO Signal
Detection via Convex Optimization with Proximal Splitting, The 2016 European Signal Processing
Conference (EUSIPCO), Aug.-Sept. 2016.
42. T. Ikeda, M. Nagahara and D. E. Quevedo, Quantized self-triggered control by sum-of-absolutevalues optimization, 22nd International Symposium on Mathematical Theory of Networks and Systems(MTNS), Minneapolis, Jul. 2016.
43. H. Sasahara, K. Hayashi, M. Nagahara, and Y. Yamamoto, Control Theoretical Approach for SingleFrequency Full-Duplex Wireless Relaying, 22nd International Symposium on Mathematical Theory of
Networks and Systems (MTNS), Minneapolis, Jul. 2016.
44. T. Ikeda and M. Nagahara, Fundamental analysis of sparse optimal control and its application todiscrete-valued control, 2016 American Control Conference (ACC), Boston, Jul. 2016.
45. T. Ikeda and M. Nagahara, Maximum hands-off control without normality assumption, 2016 American Control Conference (ACC), Boston, Jul. 2016.
46. H. Sasahara, K. Hayashi, and M. Nagahara, Mutiuser Detection by MAP Estimation with Sumof-Absolute-Values Relaxation, IEEE International Conference on Communications (ICC) 2016, May
2016.
47. T. Ikeda and M. Nagahara, Computation of maximum hands-off control, SICE International Symposium on Control Systems 2016, Nagoya, Mar. 9, 2016.
48. H. Sasahara, K. Hayashi, and M. Nagahara, Faster-than-Nyquist Signaling by Sum-of-AbsoluteValues, SICE International Symposium on Control Systems 2016, Nagoya, Mar. 2016.
49. H. Sasahara, M. Nagahara, K. Hayashi, Y. Yamamoto, Sampled-data H ∞ optimization for selfinterference suppression in baseband signal subspaces, 54th IEEE Conference on Decision and Control(CDC), Osaka, pp. 7244-7249, Dec. 18, 2015.
50. H. Sasahara, M. Nagahara, K. Hayashi, Y. Yamamoto, Time-domain equalization for single-frequency
full-duplex wireless relay using H2 optimal control, 47th ISCIE International Symposium on Stochastic
Systems Theory and Its Applications (SSS’15), Hawaii, Dec. 5, 2015.
51. T. Ikeda and M. Nagahara, Discrete model predictive control by sum-of-absolute-values optimization, 47th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS’15),
Hawaii, Dec. 5, 2015.
52. M. Ogura, M. Nagahara, and V. M. Preciado, L1 -optimal disturbance rejection for disease spreadover time-varying networks, The First International Symposium on Swarm Behavior and Bio-Inspired
Robotics (SWARM2015), pp. 377-378, October 28-30, Kyoto, 2015.
53. H. Sasahara, M. Nagahara, K. Hayashi, and Y. Yamamoto, Loop-Back Interference Suppression
for OFDM Signals via Sampled-Data Control 10th Asian Control Conference (ASCC), paper ID:
1570072769, pp. 1-4, May-Jun. 2015.
54. T. Ikeda and M. Nagahara, Continuity of the Value Function in Sparse Optimal Control, 10th AsianControl Conference (ASCC), paper ID: 1570074957, pp. 1-4, May-Jun. 2015.

55. H. Sasahara, M. Nagahara, K. Hayashi, and Y. Yamamoto, Communication Performance Analysis
of Sampled-Data H ∞ Optimal Coupling Wave Canceler SICE International Symposium on Control
Systems, 513-5 (2 pages), Mar. 2015.
56. T. Ikeda and M. Nagahara, Value Functions in Sparse Optimal and L1 Optimal Controls, SICE
International Symposium on Control Systems, 513-3 (6 pages), Mar. 2015.
57. M. Nagahara, H. Sasahara, K. Hayashi, and Y. Yamamoto, Sampled-data H ∞ design of coupling
wave cancelers in single-frequency full-duplex relay stations, SICE Annual Conference 2014, pp.
401-406, Sept. 2014.
58. M. Nagahara and Y. Yamamoto, FIR digital ﬁlter design by sampled-data H ∞ discretization, 19th
IFAC World Congress, pp. 3110-3115, Aug. 2014.
59. M. Nagahara, D. E. Quevedo, and D. Nesic, Maximum-hands-off control and L1 optimality, 52ndIEEE Conference on Decision and Control (CDC), pp. 3825-3830, Dec. 2013.
60. M. Nagahara and Y. Yamamoto, Optimal discretization of analog ﬁlters via sampled-data H ∞control theory, 2013 IEEE Multi-Conference on Systems and Control (MSC 2013), pp. 527-532, Aug.
2013.
61. M. Nagahara and C. F. Martin, L1 -optimal splines for outlier rejection, The 59th World Statistics
Congress, pp. 1137-1142, Aug. 2013.
62. M. Nagahara, D. E. Quevedo, and J. Ostergaard, Packetized predictive control for rate-limited
networks via sparse representation, 51st IEEE Conference on Decision and Control (CDC), pp. 13621367, Dec. 2012.
63. M. Nagahara, Y. Yamamoto, S. Miyazaki, T. Kudoh, and N. Hayashi, H ∞ control of microgrids
involving gas turbine engines and batteries, 51st IEEE Conference on Decision and Control (CDC), pp.
4241-4246, Dec. 2012.
64. M. Nagahara, D. Quevedo, and J. Ostergaard, Sparsely-packetized predictive control by orthogonal matching pursuit Mathematical Theory of Networks and Systems (MTNS2012), paper ID: 0156 (3pages), Jul. 2012.
65. M. Nagahara and Y. Yamamoto, H ∞ optimal fractional delay ﬁlters with application to pitch shifting, 2012 IFAC Workshop on Time Delay Systems, pp. 61-66, Jun. 2012.
66. M. Nagahara, D. E. Quevedo, T. Matsuda, and K. Hayashi, Compressive sampling for networked
feedback control, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP),
pp. 2733-2736, Mar. 2012.
67. M. Nagahara, D. E. Quevedo, J. Ostergaard, T. Matsuda, and K. Hayashi, Sparse Command Generator for Remote Control, The 9th IEEE International Conference on Control & Automation (ICCA), pp.
1055-1059, Dec. 2011.
68. M. Nagahara, K. Hanibuchi, and Y. Yamamoto, Pitch Shifting by H-Inﬁnity-Optimal Variable Fractional Delay Filters, IFAC 18th World Congress, pp. 4386-4391, Aug. 2011.
69. M. Nagahara, D. E. Quevedo Sparse Representations for Packetized Predictive Networked Control,
IFAC 18th World Congress, pp. 84-89, Aug. 2011.
70. M. Nagahara, K. Hanibuchi, and Y. Yamamoto, Duration-invariant pitch-shifting for stringed
instruments, 3rd International Conference on Control and Optimization with Industrial Applications(COIA), paper ID: MAI-EE01 (2 pages), Aug. 2011.

71. M. Nagahara, C. F. Martin, and Y. Yamamoto, Quadratic programming for monotone control theoretic splines, SICE Annual Conference 2010, pp. 531-534, Taipei, 2010
72. M. Nagahara and Y. Yamamoto, Robust Repetitive Control by Sampled-Data H-Inﬁnity Filters,
48th IEEE Conference on Decision and Control and 28th Chinese Control Conference (CDC/CCC), pp.
8136-8141, 2009.
73. M. Nagahara, M. Ogura, and Y. Yamamoto, A Novel Approach to Repetitive Control via Sampleddata H ∞ Filters, the 7th Asian Control Conference (ASCC), pp. 160-165, Aug, 2009.
74. M. Nagahara and Y. Yamamoto, Optimal Design of Delta-Sigma Modulators via Generalized KYP
Lemma, ICROS-SICE International Joint Conference 2009 (ICASS-SICE2009), pp. 4376-4379, Aug.
2009.
75. M. Nagahara, K. I. Sato, and Y. Yamamoto, H 2 /H ∞ Approach to the Histogram Method for Density
Estimation, ICROS-SICE International Joint Conference 2009 (ICASS-SICE2009), pp. 1230-1233, Aug.
2009.
76. M. Nagahara and Y. Yamamoto, Optimal noise shaping in delta-sigmal modulators via generalized
KYP lemma, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp.
3381-3384, Apr. 2009.
77. M. Nagahara, K. Sato, and Y. Yamamoto, H ∞ optimal nonparametric density estimation fromquantized samples, The 40th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS), Nov. 2008.
78. M. Nagahara, M. Ogura, and Y. Yamamoto, Interpolation of nonuniform decimated signals via
sampled-data H ∞ optimization, SICE Annual Conference, pp. 1151-1154, Aug. 2008.
79. M. Nagahara and Y. Yamamoto, and Pramod P. Khargonekar, Stability of signal reconstruction
ﬁlters via cardinal exponential splines, IFAC World Congress, pp. 1414-1419, Jul. 2008.
80. M. Nagahara and Y. Yamamoto, Hybrid design of ﬁltered-x adaptive algorithm via sampled-data
control theory, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp.
353-356, Apr. 2008.
81. M. Ogura, M. Nagahara and Y. Yamamoto, Optimal wavelet expansion via sampled-data H ∞ control theory, SICE Annual Conference, pp. 1422-1426, Oct. 2007.
82. M. Nagahara and Y. Yamamoto, Causal spline interpolation by H ∞ optimization, IEEE International
Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vol. III, pp. 1469-1472, Apr. 2007.
83. M. Nagahara, T. Wada and Y. Yamamoto, Causal spline interpolation by H ∞ optimization, SICEICCAS 2006, pp. 4160-4163, Oct. 2006.
84. M. Nagahara, T. Wada and Y. Yamamoto, Design of delta-sigma converters via sampled-data H ∞optimization, Mathematical Theory of Networks and Systems, MTNS2006, paper ID: FrP09.3 (9 pages),
Jul. 2006.
85. M. Nagahara, T. Wada and Y. Yamamoto, Design of oversampling delta-sigma DA converters via
H ∞ optimization, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP),
Vol. III, pp. 612-615, May, 2006.
86. H. Kakemizu, M. Nagahara, A. Kobayashi and Y. Yamamoto, Noise reduction of JPEG images bysampled-data ∞ optimal epsilon ﬁlters, SICE Annual Conference, pp. 1080-1085, Aug. 2005.

87. M. Nagahara and Y. Yamamoto, Optimal design of fractional delay FIR ﬁlters without bandlimiting assumption, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP),
pp. 221-224, Mar. 2005.
88. Y. Ohta and M. Nagahara, On the computation of value sets of multi-linear functions, 2004
CCA/ISIC/CACSD, pp. 161-166, Taipei, Sept. 2004.
89. G. Ooi, M. Nagahara and Y. Yamamoto, Repetitive control via sampled-data H ∞ control, IFAC
Workshop on Periodic Control Systems, pp. 561-565, Aug. 2004.
90. S. Ashida, H. Kakemizu, M. Nagahara and Y. Yamamoto, Sampled-data audio signal compression
with Huffman coding, SICE Annual Conference, pp. 972-976, Sapporo, Aug. 2004.
91. M. Nagahara and Y. Yamamoto, Optimal design of fractional delay ﬁlters, 42nd IEEE Conference on
Decision and Control (CDC), pp. 6539-6544, Maui, Dec. 2003.
92. S. Ashida, M. Nagahara and Y. Yamamoto, Audio signal compression via sampled-data control
theory, SICE Annual Conference, pp. 1182-1185, Fukui, Aug. 2003.
93. Y. Wakasa, D. Yasufuku, M. Nagahara and Y. Yamamoto, Sampled-data design of interpolators
using the cutting-plane method, 41st IEEE Conference on Decision and Control (CDC), pp. 2564-2569,
Las Vegas, Dec. 2002.
94. Y. Yamamoto, B. D. O. Anderson and M. Nagahara, Approximating sampled-data systems withapplications to digital redesign, 41st IEEE Conference on Decision and Control (CDC), pp. 3724-3729,
Las Vegas, Dec. 2002.
95. J. Shimada, M. Kawakami, S. Endoh, F. Ikeda, M. Nagahara and Y. Yamamoto, The basis of magnetic navigation system for surgery„ Computer Assisted Radiology and Surgery (CARS), Proc. of the
16th International Congress and Exhibition, p. 1088 June 26-29, 2002.
96. Y. Yamamoto, B. D. O. Anderson, M. Nagahara and Y. Koyanagi, Optimal FIR approximation for
discrete-time IIR ﬁlters, 4th Asian Control Conference (ASCC), pp. 2008-2013, Singapore, Sept. 2002.
97. K. Kashima, Y. Yamamoto and M. Nagahara, Optimal wavelet expansion via sampled-data control,
40th IEEE Conference on Decision and Control (CDC), pp. 4788-4793, Orlando, Dec. 2001.
98. M. Nagahara and Y. Yamamoto, Design for digital communication systems via sampled data H ∞control, IFAC Workshop on Periodic Control Systems, pp. 211-216, Cernobbio-Como, Aug. 2001.
99. M. Nagahara and Y. Yamamoto, A new design for sample-rate converters, 39th IEEE Conference on
Decision and Control (CDC) , pp. 4296-4301, Sydney, Dec. 2000.
100. Y. Yamamoto, M. Nagahara and H. Fujioka, Multirate signal reconstruction and ﬁlter design via
sampled-data H ∞ control, Mathematical Theory of Networks and Systems (MTNS), CD-ROM, Perpignan, Jun. 2000.

Review Papers (written in Japanese)
1. M. Nagahara, Theory and applications of sparse modeling, The Journal of The Institute of Electronics,
Information and Communication Engineers, Vol. 105, No. 2, 2022. (to appear)
2. M. Nagahara, Urgent discussion on the post-corona future society, Journal of the Society of Instrument
and Control Engineers, Vol. 60, No. 9, 2021. (to appear)3. M. Nagahara and M. Ogura, Systems, control, and network theory of pandemic, Journal of theSociety of Instrument and Control Engineers, Vol. 60, No. 9, 2021. (to appear)
4. M. Nagahara, T. Taniguchi, and Y. Ushifusa, Modeling of human behaviors and society—Interplay
between economics, AI, and control, Journal of the Society of Instrument and Control Engineers, Vol. 60,
No. 9, 2021. (to appear)
5. M. Nagahara, Activity report of WG for post corona future society, Journal of the Society of Instrument
and Control Engineers, Vol. 60, No. 7, pp. 481–484, 2021.
6. M. Nagahara and S. Azuma, Analysis and control of multi-agent systems with Python, Systems,Control, and Information, Vol. 65, No. 7, pp. 259–266, 2012.
7. M. Nagahara, Self-triggered sparse optimal control, Journal of the Society of Instrument and Control
Engineers, Vol. 60, No. 1, 2021.
8. M. Nagahara, Control and optimization over networks, Systems,Control, and Information, Vol. 63,
No. 11, pp. 449–454, 2019.
9. M. Nagahara, Technologies of artiﬁcial intelligence and automatic control for vehicles, Automotive
Technology, Vol. 7, No. 2, pp. 45–47, 2019.
10. T. Hatanaka and M. Nagahara, Systems and control technology for Society 5.0, Journal of the Societyof Instrument and Control Engineers, Vol. 58, No. 8, pp. 579–582, 2019.
11. M. Nagahara, Dynamical sparse modeling and networked control, The Journal of the Institute of
Image Information and Television Engineers, Vol. 73, No. 3, pp. 451–453, 2019.
12. S. Honda and M. Nagahara, Activities of SICE towards realization of Society5.0, Oukan (Transdisciplinary Federation of Science and Technology), Vol. 12, No. 1, pp. 43–51, 2018.
13. M. Nagahara, Optimal control and sparse modeling, IEICE ESS Fundamentals Review, Vol. 10, No. 3,
pp. 176–185, 2017.
14. M. Nagahara, Convex optimization for sparse modeling, Systems,Control, and Information, Vol. 61,
No. 1, pp. 20–28, 2016.
15. Y. Tanaka and M. Nagahara, Control and signal processing over networks, Journal of the Society of
Instrument and Control Engineers, Vol. 55, No. 11, pp. 924–929, 2016.
16. M. Nagahara, Sparse modeling for networked control, Journal of the Society of Instrument and Control
Engineers, Vol. 55, No. 11, pp. 978-983, 2016.
17. Y. Yamamoto and M. Nagahara, Sampled-data control and its applications to digital signal processing, Systems,Control, and Information, Vol. 56, No. 9, pp. 468–473, 2012.
18. Y. Yamamoto and M. Nagahara, How to write ISCIE papers in LATEX, Systems,Control, and Information, Vol. 56, No. 7, pp. 367–374, 2012.
19. M. Nagahara, Discrete-time control, Systems,Control, and Information, Vol. 56, No. 6, pp. 298–301,
2012.
20. M. Nagahara, State-space representation and stability, Vol. 56, No. 4, pp. 176–179, 2012.
21. Y. Yamamoto and M. Nagahara, Control theory and signal processing, The Journal of the Institute of
Image Information and Television Engineers, Vol. 61, No. 12, pp. 1710–1715, 2007.

22. M. Nagahara, Between analog and digital, Systems,Control, and Information, Vol. 51, No. 4, pp. 189–
190, 2007.
23. Y. Yamamoto and M. Nagahara, Introduction to sampled-data control systems: design considering
the intersample behavior, Bulletin of the Iron and Steel Institute of Japan, Vol. 8, No. 5, pp. 297–302,
2003.
24. M. Nagahara and Y. Yamamoto, Robust design of digital communication systems via sampled-data
control, Journal of the Society of Instrument and Control Engineers, Vol. 41, No. 7, pp. 491–495, 2002.
25. Y. Yamamoto and M. Nagahara, Digital signal processing via sampled-data control, Systems,Control,and Information, Vol. 45, No. 4, pp. 162–167, 2001.

Plenary/Invited/Tutorial Lectures
1. Semi-Plenary Lecture in MTNS 2022, Sept/2022. (to be presented)
2. Invited Speaker in Lightwave Sensing Technology Professional Group (LST), July/2021.
3. Invited Speaker in Consecutive Seminar, Information Processing Society of Japan, June/2021.
4. Invited Speaker in ROBOMECH 2021, June/2021.
5. Tutorial Lecture in SysCon Talks, IIT Bombay, May/2021.
6. Invited Speaker in SICE MSCS 2021, 3/March/2021.
7. Invited Speaker in the Iron and Steel Institute of Japan, 7/January/2021.
8. Workshop Lecture in IEEE CDC 2020, 13/December/2020.
9. Workshop Lecture in ICCAS 2020, 13/October/2020.
10. Invited Session Speaker in ICCAS 2020, 13-16/October/2020.
11. Invited Speaker in IEICE Society Conference, 15-18/September/2020.
12. Tutorial Lecture in SICE Tutorial Seminar, 17/July/2020.
13. Invited Speaker in the 1st SICE Workshop on Post-Corona Future Society, 6/June/2020.
14. Invited Speaker in 2019 SICE Symposium on Industrial Applications, Tokyo, Japan, 31/October/2019.
15. Invited Lecture at Tokyo Denki Univesity, Tokyo, Japan, 29/October/2019.
16. Invited Lecture Nara Institute of Science and Technology (NAIST), Nara, Japan, 8/October/2016.
17. Tutorial Lecture in 2019 IEEE Conference on Control Technology and Applications (CCTA), Hong
Kong, 21/August/2019.
18. Invited Lecture at Tokyo Denki Univesity, Tokyo, Japan, 26/June/2019.
19. Invited Lecture at University of Paderborn, Germany, 27/February/2019.
20. Invited Lecture at Technische Universität Berlin, Germany, 13/February/2019.

21. Invited Speaker in Workshop on "Current trends and Future directions in Control", IIT Bombay
Diamond Jubilee Workshop, India, 16/January/2019.
22. Invited Lecture at Fujitsu Laboratories, Kawasaki, Japan, 12/June/2018.
23. Plenary Lecture in Symposium on Measurement, Control, and Systems Engineering, The Iron andSteel Institute of Japan, Hitachi, Japan, 16/November/2017.
24. Plenary Speaker in Design Gaia, IEICE Technical Committee on VLSI, Kumamoto, Japan, 7/November/2017.
25. Plenary Speaker in Modeling Decisions for Artiﬁcial Intelligence (MDAI2017), Kitakyushu, Japan,
October 2017.
26. Tutorial Lecture in SICE Annual Conference 2017, Kanazawa, Japan, 19/October/2017.
27. Invited Lecture at Nagoya University, Nagoya, Japan, 31/May/2017.
28. Invited Lecture at Osaka University, Osaka, Japan, 1/May/2017.
29. Tutorial Lecture in SICE Control Devision Multi Symposium, Okayama, Japan, 6/March/2017.
30. Invited Lecture at Indian Institute of Technology Bombay, India, 15/February/2017, 1/March/2017.
31. Invited Speaker in Control Forum, The Iron and Steel Institute of Japan, Amagasaki, Japan,
23/January/2017.
32. Invited Speaker at Higashi-Fuji Technical Center, Toyota Motor Corporation, Higashi-Fuji, Japan,
25/November/2016.
33. Tutorial Lecture in IEICE Technical Committee on Reliable Communication and Control (RCC),
Kyoto, 21/November/2016.
34. Invited Lecture at Nara Institute of Science and Technology (NAIST), Nara, Japan, 7/November/2016.
35. Plenary Lecture in 48th ISCIE International Symposium on Stochastic Systems Theory and Its
Applications (SSS), Fukuoka, Japan, 4/November/2016.
36. Tutorial Lecture in SICE Seminar on Control of Multi-agent Systems, Tokyo, Japan, 29-30/September/2016.
37. Invited Lecture at Osaka University, 29/August/2016.
38. Invited Speaker in RACOT (Recent Advances in Control Theory), Fukuoka, Japan, 25/June/2016.
39. Tutorial Lecture in Annual Conference of the Institute of Systems, Control and Information Engineers (SCI’16), Kyoto, Japan, 26/May/2016.
40. Invited Lecture at Indian Institute of Technology Bombay, India, 20/May/2016.
41. Tutorial Lecture in SICE Multi-Symposium on Control Systems, Nagoya, Japan, 10/March/2016.
42. Invited Speaker in IEICE Technical Committee on Signal Processing, Osaka, Japan, 18/January/2016.
43. Tutorial Lecture in Japan Joint Automatic Control Conference, Kobe, Japan, 14/November/2015.
44. Invited Lecture at Osaka Electro-Communication University, Osaka, Japan, 26/October/2015.
45. Invited Lecture at Hiroshima University, Hiroshima, Japan, 9/October/2015.

46. Tutorial Lecture in SICE Technical Committee on Control and Signal Processing over Networks,
Kyoto, Japan, 29/September/2015.
47. Invited Lecture at Aalborg University, Denmark, 24/September/2015.
48. Tutorial Lecture in IEICE Society Conference 2015, Sendai, Japan, 9/September/2015.
49. Invited Speaker in IEICE SmartCom2014, Singapore, 31/October/2014.
50. Tutorial Lecture in 21st International Symposium on Mathematical Theory of Networks and Systems (MTNS2014), Groningen, The Netherlands, 8/July/2014.
51. Invited Speaker in Joint IEEE CSS-Graduate School of Informatics, Kyoto U. Workshop on Systems
and Control, Kyoto, Japan, 9/May/2013.
52. Invited Speaker in Technical Committee on Reliable Robust Radio (RRR), Nagoya, Japan, 3/August/2012.
53. Invited Lecture at Niigata University, Niigata, Japan, 25/November/2011.
54. Invited Panelist in IEICE Society Conference 2011, Sapporo, Japan, 15/September/2011.
55. Tutorial Lecture in IEICE Society Conference 2011, Sapporo, Japan, 13/September/2011.
56. Invited Panelist in IEICE Technical Committee on Reliable Communication and Control (RCC),
28/July/2010.
57. Invited Speaker, YYFest 2010, Symposium on Systems, Control, and Signal Processing in Honor
of Yutaka Yamamoto on the Occasion of his 60’s Birthday, Kyoto, Japan, 29/March/2010.
58. Invited Panelist in IEICE Society Conference 2009, Niigata, Japan, 18/September/2009.

Externally Funded Research Grants
1. April 2020–March 2022: Principal Investigator, Analysis of Bounding Flight in Birds by Dynamical
Sparse Modeling and Its Application to Drones, MEXT Grant-in-Aid for Challenging Research (Exploratory), Japan (2 years, JPY5,000,000)
2. April 2020–March 2023: Principal Investigator, Machine Learning Under Differential Equations, MEXT
Grant-in-Aid for Scientiﬁc Research (B), Japan (3 years, JPY13,600,000)
3. April 2019–March 2022: Co-investigator, Construction and Veriﬁcation of Optimal Operation and Control of Soil-Heat Exchange Systems by Deep Reinforcement Learning, MEXT Grant-in-Aid for ScientiﬁcResearch (B), Japan (3 years, JPY17,420,000, PI: Prof. Yasuyuki Shiraishi)
4. April 2017–March 2019: Principal Investigator, Dynamical Sparse Modeling by Optimal Control Theory
and Statistical Learning MEXT Fund for the Promotion of Joint International Research (Fostering
Joint International Research), Japan (2years, JPY13,520,000)
5. April 2016–March 2018]: Principal Investigator, Dynamical Sparse Modeling and Its Applications
to Bio-Mechanics, MEXT Grant-in-Aid for Scientiﬁc Research on Innovative Areas (Research in a
proposed research area), Japan (2 years, JPY4,810,000)
6. April 2015–March 2017: Principal Investigator, Design of Super-distributed Control Systems for Unreliable Multi-agents and Its Application to Disaster Area Survey, MEXT Grant-in-Aid for Challenging
Exploratory Research, Japan (2 years, JPY3,900,000)

7. April 2015–March 2019: Principal Investigator, Sparse Optimal Control Theory for Green Technology,
MEXT Grant-in-Aid for Scientiﬁc Research (B), Japan (4 years, JPY16,900,000)
8. April 2014–March 2016: Principal Investigator, Sparse Modelling for Biomechanics by Sparse OptimalControl Theory, MEXT Grant-in-Aid for Scientiﬁc Research on Innovative Areas (Research in a
proposed research area), Japan (2 years, JPY4,550,000)
9. April 2014–March 2018: Research Collaborator, Communication Protocol Design for Wireless Control
Systems, MEXT Grant-in-Aid for Young Scientists (B), Japan (4 years, JPY4,030,000, PI: Prof. Megumi
Kaneko)10. March 2014–March 2015: Principal Investigator, Low-power and Reliable Communications for Radio
Control based on Sparse Optimisation, Okawa Foundation for Information and Telecommunications,
Research Grant, Japan (1 year, JPY1,000,000)
11. April 2013–May 2014: Principal Investigator, Phonetic Analysis and Learning System Design for Utai
of Noh Music, KAWAI Foundation for Sound Technology & Music, Research Grant, Japan (1 year,
JPY500,000)
12. April 2012–March 2015: Co-Investigator, System Theory for Mon-stationary Signals via Sampled-Data
Control Theory and Its Applications, MEXT Grant-in-Aid for Scientiﬁc Research (B), Japan (3 years,
JPY18,590,000, PI: Prof. Yutaka Yamamoto)
13. April 2012–March 2015: Principal Investigator, Reliable Communications for Networked Control Systems Based on Sparse Representation, MEXT Grant-in-Aid for Scientiﬁc Research (C), Japan (3 years,
JPY5,590,000)
14. April 2010–March 2012: Principal Investigator, Optimal Discretization of Inﬁnite-dimensional Controllers based on Sampled-data Control Theory, MEXT Grants-in-Aid for Young Scientist (B), Japan (2years, JPY3,770,000)
15. April 2010–March 2013: Co-Investigator, Study of Numerical Analysis via Control Theory, MEXT
Grant-in-Aid for Challenging Exploratory Research, Japan (3 years, JPY3,640,000, PI: Prof. Yutaka
Yamamoto)
16. April 2009–March 2012: Co-Investigator, Hybrid Signal Processing via Sampled-data Control Theory,
MEXT Grant-in-Aid for Scientiﬁc Research (B), Japan (3 years, JPY17,940,000, PI: Prof. Yutaka
Yamamoto)
17. April 2006–March 2009: Co-Investigator, New methodology in Signal Processing via Sampled-data Control Theory and Its Development in New Non-stationary System Theory, MEXT Grant-in-Aid for Scientiﬁc Research (B), Japan (3 years, JPY17,280,000, PI: Prof. Yutaka Yamamoto)
18. April 2005–March 2008: Co-Investigator, Research on Finite Dimensional Conditions for Control of Distributed Parameter Systems, MEXT Grant-in-Aid for Exploratory Research, Japan (3 years, JPY3,300,000,
PI: Prof. Yutaka Yamamoto)
19. April 2004–March 2007: Principal Investigator, Novel Multimedia Signal Processing with Analog Performance, MEXT Grants-in-Aid for Young Scientist (B), Japan (3 years, JPY3,500,000)
20. April 2003–March 2016: Co-Investigator, General Theory of Digital Signal Processing via-Sampled Data
Control Theory and Its Applications, Japan (3 years, JPY13,400,000, PI: Prof. Yutaka Yamamoto)
21. April 2002–March 2003: Principal Investigator, Digital Signal Processing with Analog Performancebased on Sampled-data Control Theory, JSPS Research fellow (DC2), Japan (1 year, JPY1,000,000)

22. April 2002–March 2005: Co-Investigator, System Theory for Numerical Analysis, MEXT Grant-in-Aid
for Exploratory Research, Japan (3 years, JPY3,100,000)

Patents (USA)
Granted Patents
1. Method and system for power system stabilization using prediction conﬁdence based on highfrequency components of power command value, Patent number: 9780562, Type: Grant, Filed:
October 8, 2015, Date of Patent: October 3, 2017, Assignee: Panasonic Corporation, Inventors:
Kenichi Watanabe, Seiya Miyazaki, Takahiro Kudoh, Yutaka Yamamoto, Masaaki Nagahara, Gou
Nishida.
2. Method for designing power controller, power controller, and power control device, Patent number:
9407162, Type: Grant, Filed: April 1, 2013, Date of Patent: August 2, 2016, Assignee: Panasonic Corporation, Inventors: Takahiro Kudoh, Tatsuto Kinjo, Seiya Miyazaki, Yutaka Yamamoto, Masaaki
Nagahara, Naoki Hayashi.
3. Method for designing a control apparatus and control apparatus, Patent number: 9158300, Type:
Grant, Filed: May 28, 2012, Date of Patent: October 13, 2015, Assignee: Panasonic Corporation,
Inventors: Seiya Miyazaki, Takahiro Kudoh, Yutaka Yamamoto, Masaaki Nagahara.
4. Method and apparatus for removing image noise, Patent number: 8611680, Type: Grant, Filed:November 11, 2008, Date of Patent: December 17, 2013, Assignee: Kyoto University, Inventors:
Yutaka Yamamoto, Masaaki Nagahara, Akira Kobayashi.
5. Method for designing audio signal processing system for hearing aid, audio signal processing
system for hearing aid, and hearing aid, Patent number: 8488823, Type: Grant, Filed: August
3, 2009, Date of Patent: July 16, 2013, Assignee: Kyoto University, Inventors: Yutaka Yamamoto,
Masaaki Nagahara.

Published Applications
1. Power system stabilization method, power system stabilization system, and power supply device,
Publication number: 20160028234, Type: Application, Filed: October 8, 2015, Publication date: January 28, 2016, Inventors: Kenichi Watanabe, Seiya Miyazaki, Takahiro Kudoh, Yutaka Yamamoto,
Masaaki Nagahara, Gou Nishida.
2. Method for designing power controller, power controller, and power control device, Publication
number: 20150131346, Type: Application, Filed: April 1, 2013, Publication date: May 14, 2015,
Applicant: Panasonic Corporation, Inventors: Takahiro Kudoh, Tatsuto Kinjo, Seiya Miyazaki,
Yutaka Yamamoto, Masaaki Nagahara, Naoki Hayashi.
3. Method for designing a control apparatus and control apparatus, Publication number: 20130150993,
Type: Application, Filed: May 28, 2012, Publication date: June 13, 2013, Inventors: Seiya Miyazaki,
Takahiro Kudoh, Yutaka Yamamoto, Masaaki Nagahara.
4. Method and apparatus for removing image noise, Publication number: 20110002552, Type: Application, Filed: November 26, 2008, Publication date: January 6, 2011, Applicant: Kyoto University,
Inventors: Yutaka Yamamoto, Masaaki Nagahara, Akira Kobayashi.

Professional Activities and Service• 2021–present: Associate Editor, Advanced Robotics• 2021–present: Guest Editor, Special Issue on Soft/Social/Systemic (3S) Robot Technologies forEnhancing Quality of New Normal (QoNN), Advanced Robotics• 2020–present: Guest Editor, Special Issue on Sparsity-inducing Methods in Control Theory, Robustand Nonlinear Control• 2020–present: Interactive Session Chair, IFAC World Congress 2023
• 2020–present: Member, Conference Activities Task Force, SICE
• 2020–present: Chair, SICE Working Group for Post Corona Future Society in Japan, SICE
• 2020–present: Guest Editor, Special Issue on 7th Multi Symposium on Control Systems (MSCS2020),
SICE Transactions• 2020–present: International Program Committee Member, 7th Indian Control Conference 2020
(ICC-7), India• 2020–present: Program Committee Member, Joint Symposium DARS/SWARM2020, Kyoto, Japan• 2019–present: Associate Editor of Asian Journal of Control• 2019–present: Advisor, AI Technical Committee, Association of Instrumentation Engineers, Japan• 2018–present: Member of IEEE CSS Technical Committees on Networks and Communications• 2017–present: Division Secretary of SICE Kyushu Branch• 2016–present: Member of Hibikino Research Group for Social Embedding of AI Technologies(HiSEAT), Japan• 2014–present: Member of IFAC Technical Committee 2.1 Control Design• 2014–present: Afﬁliate Member of IEEE Signal Processing Society, Signal Processing Theory andMethods (SPTM) Technical Committee• 2013–present: Associate Editor for Conference Editorial Board, IEEE Control Systems Society• 2015–2021: Associate Editor of SICE Journal of Control, Measurement, and System Integration (JCMSI)• 2019–2020: Program Co-Chair, 7th SICE Multi-symposium on Control Systems, Japan• 2019: International Program Committee Member, 6th Indian Control Conference 2019 (ICC-6)• 2018–2019: Program Committee Member, 3rd International Symposium on Swarm Behavior andBio-Inspired Robotics (SWARM2019)• 2018–2019: Committee Chair of SICE Research Committee on Systems and Control for Society 5.0• 2018–2019: Committee Vice Chair of SICE Research Committee on Event-triggered Control for IoT• 2018–2019: Local Committee Member, 12th Asian Control Conference (ASCC2019)• 2018–2019: International Program Committee Member, 5th Indian Control Conference 2019 (ICC-5)

• 2016–2020: Member of Research Group of Energy Management, Kitakyushu Foundation for the
Advancement of Industry, Science and Technology, Japan• 2016–2017: Program Committee Member, 2nd International Symposium on Swarm Behavior andBio-Inspired Robotics (SWARM2017)• 2015–2016: Secretary of IEEE Signal Processing Society (SPS) Kansai Chapter• 2015–2016: General Affairs Chair of SICE Kansai Chapter• 2015–2016: Committee Chair of SICE Research Committee on Control and Signal Processing on
Networks• 2015–2016: Local Committee Member, 54th IEEE Conference on Decision and Control (CDC2015)• 2014–2020: Member of Technical Committee on Reliable Communication and Control (RCC), IEICE, Japan• 2014–2015: Program Committee Member, 1st International Symposium on Swarm Behavior andBio-Inspired Robotics (SWARM2015)• 2014–2015: Local Committee Member, ISCIE Annual Conference of the Institute of Systems, Control and Information Engineers (SCI’15)• 2014–2015: Guest Associate Editor, Special Section on Signal Processing for Sensing and Diagnosis,
IEICE Trans. Fundamentals• 2013–2014: Local Committee Member, ISCIE Annual Conference of the Institute of Systems, Control and Information Engineers (SCI’14)• 2013–2014: Local Committee Member, 29th IEICE Signal Processing Symposium (SIP2014)• 2013: Program Committee Member, 6th International Congress on Image and Signal Processing(CISP 2013) and the 6th International Conference on BioMedical Engineering and Informatics(BMEI 2013)• 2013: Organizing Committee Member, 28th IEICE Signal Processing Symposium (SIP2013)• 2013: Program Committee Member, 56th Japan Joint Automatic Control Conference• 2012–2013: Member of SICE Research Committee on Distributed Decision Making for Large Scale
Social Systems• 2012: Organizing Committee Member, 27th IEICE Signal Processing Symposium (SIP2012)• 2012: Organizing Committee Member, 55th Japan Joint Automatic Control Conference• 2012: Program Committee Member, 5th International Congress on Image and Signal Processing(CISP 2012)• 2011–2017: Member of Technical Committee on Signal Processing (SIP), IEICE, Japan• 2011: Organizing Committee Member, 26th IEICE Signal Processing Symposium (SIP2011)• 2011: Program Committee Member, 54th Japan Joint Automatic Control Conference• 2010–2014: Member of Technical Committee on Reliable Robust Radio Control Technology (RRRC),
IEICE, Japan• 2010: International Program Committee Member, International Symposium on Mathematical Theory of Networks and Systems (MTNS 2010)• 2009–2013: Member of Editorial Board of Systems, Control and Information, ISCIE, Japan• 2009–2010: Local Committee Member, YY Fest 2010
• 2009: Program Committee Member, CACS International Automatic Control Conference (IACC2009)• 2004–2006: Member of Editorial Board of Systems, Control and Information, ISCIE, Japan• 2004–2006: Local Committee Member, International Symposium on Mathematical Theory of Networks and Systems (MTNS 2006)

Courses Taught• 2021: Sparsity Methods for Systems and Control (IIT Bombay, SysCon Talks, 9 online lectures forundergraduate/graduate students)• 2020–present: Introduction to Data Analysis (The University of Kitakyushu, undergraduate level)• 2020–present: Computer Systems (The University of Kitakyushu, undergraduate level)• 2019–present: Information Mathematics (The University of Kitakyushu, undergraduate level)• 2019–present: Experiments in Information System Engineering III (The University of Kitakyushu,
undergraduate level)• 2019–present: Sparse Modeling (The University of Kitakyushu, graduate level)• 2019–present: Introduction to Environmental Technology (The University of Kitakyushu, undergraduate level)• 2018: Sparsity methods for systems and control (Indian Institute of Technology Bombay, graduatelevel)• 2017–2018: Applied Control Engineering (The University of Kitakyushu, graduate level)• 2016–2018: Experiments in Information and Media Engineering III (The University of Kitakyushu,
undergraduate level)• 2016–present: Exercises in Programming II (The University of Kitakyushu, undergraduate level)• 2016–2018: Exercises in Data Structures and Algorithms (The University of Kitakyushu, undergraduate level)• 2016–2019: Image Processing (The University of Kitakyushu, graduate level)• 2016–2018: Discrete Mathematics (The University of Kitakyushu, undergraduate level)• 2012–2016: Topics in Control Theory (Kyoto University, graduate level)• 2012–2016: Mathematical Description of Natural Phenomena (Kyoto University, undergraduatelevel)• 2009–2016: Modern Control Theory (Kyoto University, undergraduate level)• 2006–2016: Complex Systems Synthesis (Kyoto University, graduate level)• 2013: Seminar on Data Analysis of Sound (Kyoto University, undergraduate level)• 2013: System Analysis Laboratory (Kyoto University, undergraduate level)• 2013: Linear Control Theory (Kyoto University, undergraduate level)• 2005–2012: Numerical Analysis (Osaka University, undergraduate level)• 2002–2012: Experiments in Applied Mathematics and Physics (Kyoto University, undergraduatelevel)• 2004–2016: Seminar on Applied Mathematics and Physics (Kyoto University, undergraduate level)• 2007: Experiments in Physics (Kyoto University, undergraduate level)• 2005: Numerical Computation Seminar (Kyoto University, undergraduate level)

Languages• Japanese: Native

English: Fluent

Citizenship• Japanese

Last updated: October 5, 2021
https://nagahara-masaaki.github.io/