yusuke1997/dblp-id-title huggingface dataset:
Inferences based on a balanced joint progressive type-II censoring scheme for Lindley distributed lifetimes
Some estimation problems in epidemic modeling
A comparison of some new and old robust ridge regression estimators
Mixed integer nonlinear goal programming approach to variable selection in linear regression
Hidden Markov model steady-state estimation
A report on the paper "xia cai, feng siman & yan liang (2022): generalized fiducial inference for the lower confidence limit of reliability based on weibull distribution, communications in statistics - simulation and computation, DOI: 10.1080/03610918.2022.2067873"
Simultaneous Confidence Intervals for the Ratios of Marginal Means of a Multivariate Poisson Distribution
New estimators based on order statistics in some families of scale distributions
Improvement of the GFI and AGFI indexes in structural equation models by the covariance between repetitions in the observed variables
Monitoring processes with ordinal data: an area-based approach
On the asymptotics of tail conditional expectation for portfolio loss under bivariate Eyraud-Farlie-Gumbel-Morgenstern copula and heavy tails
General Sparse Boosting: Improving Feature Selection of L 2 Boosting by Correlation-Based Penalty Family
Comparison of Robust Estimators of Standard Deviation in Normal Distributions Within the Context of Quality Control
Bayesian Estimation for Poisson-exponential Model under Progressive Type-II Censoring Data with Binomial Removal and Its Application to Ovarian Cancer Data
Effective estimation of nonlinear errors-in-variables models
Optimal Designing of Variables Sampling Plan for Resubmitted Lots
Multivariate Failure Time Analysis when only the Time to First Failure is Observed
Exponential-Type Estimators of the Mean of a Sensitive Variable in the Presence of Nonsensitive Auxiliary Information
Truncated Midzuno-Sen Sampling Schemes for Estimating Distribution Functions
Performance and Prediction for Varying Survival Time Scales
A bivariate distribution with convolution of binomials as marginals
Analysis for partially accelerated dependent competing risks model with masked data based on copula function
Applications of Marshall-Olkin Fréchet Distribution
Estimating the Proportion of True Null Hypotheses in Nonparametric Exponential Mixture Model with Appication to the Leukemia Gene Expression Data
Potential bias introduced by not including multiple time-scales in survival analysis: a simulation study
A simple approximation for the bivariate normal integral
Instrumental variable based variable selection for generalized linear models with endogenous covariates
Improving K-means method via shrinkage estimation and LVQ algorithm
An Adaptive Test for the Two-Sample Location Problem Based on U -Statistics
On classical and Bayesian inference for bivariate Poisson conditionals distributions: theory, methods and applications
DARM: Decremental Association Rules Mining
Synthesis of Nonlinear Control of Switching Topologies of Buck-Boost Converter Using Fuzzy Logic on Field Programmable Gate Array (FPGA)
Insertion of Ontological Knowledge to Improve Automatic Summarization Extraction Methods
Evolutive Neural Net Fuzzy Filtering: Basic Description
Determination of Optimal Manufacturing Parameters for Injection Mold by Inverse Model Basing on MANFIS
Towards Real-World Applications of Online Learning Spiral Recurrent Neural Networks
Control Task for Reinforcement Learning with Known Optimal Solution for Discrete and Continuous Actions
Identification and Prediction of Internet Traffic Using Artificial Neural Networks
Contour Based Path Planning with B-Spline Trajectory Generation for Unmanned Aerial Vehicles (UAVs) over Hostile Terrain
Dynamic Shortest Path Algorithm in Stochastic Traffic Networks Using PSO Based on Fluid Neural Network
Self-Play and Using an Expert to Learn to Play Backgammon with Temporal Difference Learning
Categorization and Reorientation of Images Based on Low Level Features
Playing Tic-Tac-Toe Using Genetic Neural Network with Double Transfer Functions
Clustering-Inverse: A Generalized Model for Pattern-Based Time Series Segmentation
Predicting Stock Prices Using Polynomial Classifiers: The Case of Dubai Financial Market
A New Neural Network Structure: Node-to-Node-Link Neural Network
Relational Reinforcement Learning with Continuous Actions by Combining Behavioural Cloning and Locally Weighted Regression
Parameters Estimation of an Electric Fan Using ANN
A New Multilevel Thresholding Method Using Swarm Intelligence Algorithm for Image Segmentation
Profit-Maximizing Strategies for an Artificial Payment Card Market. Is Learning Possible?
Machine Learning Algorithms and Their Application to Ore Reserve Estimation of Sparse and Imprecise Data
Fast Variable Selection by Block Addition and Block Deletion
Knowledge Discovery for Query Formulation for Validation of a Bayesian Belief Network
Continuous Arabic Sign Language Recognition in User Dependent Mode
A Cross Entropy-Genetic Algorithm for m-Machines No-Wait Job-ShopScheduling Problem
A SOM-Based Document Clustering Using Frequent Max Substrings for Non-Segmented Texts
Seasonal Adaptation of Vegetation Color in Satellite Images for Flight Simulations
Learning Probabilistic Models of Hydrogen Bond Stability from Molecular Dynamics Simulation Trajectories
Beyond Customer Churn: Generating Personalized Actions to Retain Customers in a Retail Bank by a Recommender System Approach
Chunk Parsing and Entity Relation Extracting to Chinese Text by Using Conditional Random Fields Model
An Artificial Neural Network Approach for Credit Risk Management
Function Approximation Using Robust Radial Basis Function Networks
An Autonomous Incremental Learning Algorithm for Radial Basis Function Networks
Design of Hybrid Fuzzy Neural Network for Function Approximation
Object Identification in Dynamic Images Based on the Memory-Prediction Theory of Brain Function
A Velocity-Based Rao-Blackwellized Particle Filter Approach to Monocular vSLAM
An Experience Based Learning Controller
Identifying Causes Helps a Tutoring System to Better Adapt to Learners duringTraining Sessions
Editorial: Intelligent Learning Systems in Banking and Finance
Particle Filtering Optimized by Swarm Intelligence Algorithm
An Artificial Neural Network Model to Forecast Exchange Rates
Editorial: Special Section on Reinforcement Learning and Approximate Dynamic Programming
Implementation of Adaptive Neuro Fuzzy Inference System in Speed Control of Induction Motor Drives
A Feasible Approach for Automatic Detection and Recognition of the Bengalese Finch Songnotes and Their Sequences
Autonomous Adaptive Agent with Intrinsic Motivation for Sustainable HAI*
Multiparametric Analysis of Multi-Task Markov Decision Processes: Structure, Invariance, and Reducibility
Underapproximating Safe Domains of Attraction for Discrete-Time Systems Using Implicit Representations of Backward Reachable Sets
Data-Driven Human Modeling: Quantifying Personal Tendency Toward Laziness
Self-Configuring Robot Path Planning With Obstacle Avoidance via Deep Reinforcement Learning
Distributed Resilient Observer: Blended Dynamics Theory Meets ℓ 1 -Minimization Approach
A Semi-Algebraic Optimization Approach to Data-Driven Control of Continuous-Time Nonlinear Systems
Guest Editorial Introduction to the IEEE Control Systems Letters Special Section on Data-Driven Analysis and Control
Leader-Following Consensus of Second-Order Multi-Agent Systems With Switching Topology and Partial Aperiodic Sampled Data
Optimality and Suboptimality of MPPI Control in Stochastic and Deterministic Settings
Willems' Fundamental Lemma for Linear Descriptor Systems and Its Use for Data-Driven Output-Feedback MPC
MR.CAP: Multi-Robot Joint Control and Planning for Object Transport
On-Line Permissive Supervisory Control of Discrete Event Systems for scLTL Specifications
Design and Implementation of a Wind Farm Controller Using Aerodynamics Estimated From LIDAR Scans of Wind Turbine Blades
Learning Robustly Stabilizing Explicit Model Predictive Controllers: A Non-Regular Sampling Approach
Input Redundancy of Switched Systems Concerning the Switching Signal
Optimal Recursive Terminal Sliding-Mode Control Using Super-Twisting Algorithm for Improving High Efficiency and Reliability of Pump Systems
Minimum Energy Density Steering of Linear Systems With Gromov-Wasserstein Terminal Cost
Turnpike in Nonlinear Optimal Control Problems With Indefinite Hamiltonian
A Distributed Control Strategy for Parallel DC-DC Converters
Oblique Projected Dynamical Systems and Incremental Stability Under State Constraints
Formation Tracking for a Class of Uncertain Multi-Agent Systems: A Distributed Kalman Filtering Approach
Model-Free Stochastic Reachability Using Kernel Distribution Embeddings
A Predictive Reaction-Diffusion Based Model of E.coliColony Growth Control
A Cutting Plane-Based Distributed Algorithm for Non-Smooth Optimisation With Coupling Constraints
Tracking Point Vortices and Circulations via Advected Passive Particles: An Estimation Approach
A Data-Driven Approach to the L₂ Stabilization of Linear Systems Subject to Input Saturations
Traffic-Prediction-Based Optimal Control of Electric and Autonomous Buses
Externally Positive Linear Systems From Transfer Function Properties
Feedback Control of Bioelectronic Devices Using Machine Learning
Solving Linear Equations With Separable Problem Data Over Directed Networks
Second-Order Heterogeneous Multi-Agent Target Tracking Without Relative Velocities
On the Design of Nonlinear Distributed Control Protocols for Platooning Systems
On the Synchronization of the Kuramoto-Type Model of Oscillators With Lossy Couplings
Geometric Convergence of Distributed Heavy-Ball Nash Equilibrium Algorithm Over Time-Varying Digraphs With Unconstrained Actions
Reduced Order Positive Filter Design for Positive Uncertain Discrete-Time Linear Systems
Stability Preservation of Nonlinear Systems With Sampled-Delayed Input
Analysis and Control of Genetic Toggle Switches Subject to Periodic Multi-Input Stimulation
Detectability Analysis and Observer Design for Linear Time Varying Systems
Detection of Cyber-Attacks in Automotive Traffic Using Macroscopic Models and Gaussian Processes
Neural ODEs for Data-Driven Automatic Self-Design of Finite-Time Output Feedback Control for Unknown Nonlinear Dynamics
Deterministic Optimality of the Steady-State Behavior of the Kalman-Bucy Filter
Fixed-Time Convergence in Continuous-Time Optimization: A Fractional Approach
Scalable Mesh Stability of Nonlinear Interconnected Systems
On the O(1/k) Convergence of Distributed Gradient Methods Under Random Quantization
Robust Sampled-Data Fault Detection Filtering Through Differential Linear Matrix Inequalities
On Distributed Nonconvex Optimisation via Modified ADMM
Data-Driven LQR Control Design
A Framework for Bayesian Quickest Change Detection in General Dependent Stochastic Processes
Remote State Estimation With Discounted Multi-Armed Bandits for Non-Stationary Channel Selection
A Coupled Friedkin-Johnsen Model of Popularity Dynamics in Social Media
On Polynomial Stochastic Barrier Functions: Bernstein Versus Sum-of-Squares
Application-Oriented Input Design With Low Coherence Constraint
Actuator Placement for Symmetric Structural Controllability With Heterogeneous Costs
A Structured Optimal Controller With Feed-Forward for Transportation
Online Fault Prognosis of Labeled Petri Nets
A New Voltage Regulator for Distribution Networks With Stability and Robustness Certificates
Adaptive Passification of Unknown Input-Affine Nonlinear Systems
Sub-Optimal MPC With Dynamic Constraint Tightening
Composite Learning Image-Based Visual Servoing of Redundant Robots With Nullspace Compliance
Configuration-Constrained Tube MPC for Tracking
Learning Dissipative Neural Dynamical Systems
Exact Distribution-Free Hypothesis Tests for the Regression Function of Binary Classification via Conditional Kernel Mean Embeddings
Decentralized Gain Adaptation for Optimal Pinning Controllability of Complex Networks
Robust Action Governor for Discrete-Time Piecewise Affine Systems With Additive Disturbances
Stochastic Game in Remote Estimation Under DoS Attacks
Compositional Construction of Control Barrier Certificates for Large-Scale Stochastic Switched Systems
Learning Robust LQ-Controllers Using Application Oriented Exploration
Data-Driven Output-Feedback Control for Unknown Switched Linear Systems
A Dynamic Neural Network Designed Using Analytical Methods Produces Dynamic Control Properties Similar to an Analogous Classical Controller
Data-Driven Risk-Averse Safe Control for Nonlinear Parameter-Varying Systems
Positive Dynamical Networks in Neuronal Regulation: How Tunable Variability Coexists With Robustness
Increasing Power Generation Efficiency in Horizontal Wind Turbines by Rejecting Electromechanical Uncertainties Due to the Wind
Unconditional Exponential Stability via Discontinuous Interface Control Design in Wave Transmission Networks With Inertial Boundary
Dubins Path With Terminal Range and Field-of-View Constraints
A Jump Ornstein-Uhlenbeck Bridge Based on Energy-Optimal Control and Its Self-Exciting Extension
H₂ Performance Analysis and Synthesis for Discrete-Time Linear Systems With Dynamics Determined by an i.i.d. Process
Actively Learning Equilibria in Nash Games With Misleading Information
Coordinated Lateral and Longitudinal Vehicle-Following Control of Connected and Automated Vehicles Considering Nonlinear Dynamics
Distributionally Robust Model Predictive Control With Total Variation Distance
Constraint Admissible Positive Invariant Sets for Vehicles in SE(3)
New Haar-Based Algorithms for Stability Analysis of LPV Systems
Identification of System Vulnerability Under a Smart Sensor Attack via Attack Model Reduction
Kinetic-Potential Energy Shaping for Mechanical Systems With Applications to Tracking
Control Barrier Functions With Unmodeled Input Dynamics Using Integral Quadratic Constraints
Data-Driven Positivity-Preserving Optimal State-Feedback Control via Successive Convex Programming
Data-Driven Real-Valued Timed-Failure-Propagation-Graph Refinement for Complex System Fault Diagnosis
Safe Adaptive Multi-Agent Coverage Control
Advanced-Step Real-Time Iterations With Four Levels - New Error Bounds and Fast Implementation in acados
Universal Adaptive Control of Nonlinear Systems
Periodic Sparse Control to Prevent Undetectable Attacks on Over-Actuated Systems
Hierarchical Decentralized Stochastic Control for Cyber-Physical Systems
Detection of Delays and Feedthroughs in Dynamic Networked Systems
Erratum to "Leader-Centric Time-Varying Formation Tracking Control for Multi-Agent Systems via Event-Triggered Mechanism"
A Robustness Analysis to Structured Channel Tampering Over Secure-by-Design Consensus Networks
Theory and Design of PID Controller for Nonlinear Uncertain Systems
LPV Controller Design for Diesel Engine SCR Aftertreatment Systems Based on Quasi-LPV Models
Effects of Viscous Damping on Differential Flatness-Based Control for a Class of Under-Actuated Planar Manipulators
Quaternion-Based Attitude Stabilization via Discrete-Time IDA-PBC
An Alternative Algorithm to the D-K Iterations for Robust Control Design
A Privacy-Preserving Finite-Time Push-Sum-Based Gradient Method for Distributed Optimization Over Digraphs
Dahl Hysteresis Modeling and Position Control of Piezoelectric Digital Manipulator
On the Existence of Linear Observed Systems on Manifolds With Connection
Multi-Frequency Tracking via Group-Sparse Optimal Transport
Universal Approximation Property of Hamiltonian Deep Neural Networks
Control Barrier Function-Based Quadratic Programs Introduce Undesirable Asymptotically Stable Equilibria
Transformational Supervisor Localization
Lyapunov-Derived Control and Adaptive Update Laws for Inner and Outer Layer Weights of a Deep Neural Network
A Distributed Dual Proximal Minimization Algorithm for Constraint-Coupled Optimization Problems
Output-Constrained Robust Adaptive Control for Uncertain Nonlinear MIMO Systems With Unknown Control Directions
Data-Driven Controller Synthesis via Co-Büchi Barrier Certificates With Formal Guarantees
Nonlinear Optimal Control Design Considering a Class of System Constraints With Validation on a Magnetic Levitation System
PDE-Based Dynamic Density Estimation for Large-Scale Agent Systems
Least Squares Identification and Adaptive Control of Stochastic High-Order Nonlinear Systems
Average-Consensus Tracking of Sensor Network via Distributed Coordination Control of Heterogeneous Multi-Agent Systems
Constrained Generalized Continuous Algebraic Riccati Equations (CGCAREs) Are Generically Unsolvable
Stabilization of Non-Linear Networked Control Systems Closed Over a Lossy WirelessHART Network
Data-Driven Balancing Formulation for Linear Systems With Quadratic Outputs
An Analytic End-to-End Collaborative Deep Learning Algorithm
An Estimator-Based Dynamic Event-Triggered Protocol for Linear Multiagent Systems
Traffic Control Via Platoons of Intelligent Vehicles for Saving Fuel Consumption in Freeway Systems
A Symbolic Approach to the Self-Triggered Design for Networked Control Systems
Glycemic Control Strategy Based on an Impulsive MPC With Safety Layer Coupling for IOB Limitation
Piston-Driven Pneumatically-Actuated Soft Robots: Modeling and Backstepping Control
A Hybrid, Coupled Approach to the Continuous-Discrete Kalman Filter
An Improved Data Augmentation Scheme for Model Predictive Control Policy Approximation
Admissible Optimal Control for Parameter Estimation in Quantum Systems
Low-Gain Stability of Projected Integral Control for Input-Constrained Discrete-Time Nonlinear Systems
Resilience Quantification and Its Support for Operational Resilience
Data-Driven Linear Parameter-Varying Model Identification Using Transfer Learning
Bi-Homogeneous Observers for Uncertain 2-DOF Mechanical Systems
Safety During Transient Response in Direct Current Microgrids Using Control Barrier Functions
Reachability Analysis of Neural Networks Using Mixed Monotonicity
Feedback Passivation of Linear Systems With Fixed-Structure Controllers
Infinite-Dimensional Observers for High-Order Boundary-Controlled Port-Hamiltonian Systems
Modular Similarity Control of Nondeterministic Discrete Event Systems With Modular Specifications
SCIL: Stage-Conditioned Imitation Learning for Multi-Stage Manipulation
Chetaev Instability Framework for Kinetostatic Compliance-Based Protein Unfolding
Matricial Wasserstein-1 Distance
A New Continuous-Time Stability Perspective of Time-Delay Control: Introducing a State-Dependent Upper Bound Structure
The Role of the Time-Arrow in Mean-Square Estimation of Stochastic Processes
Evolutionary Dynamics of Two Communities Under Environmental Feedback
Nonsmooth Optimal Value and Policy Functions in Mechanical Systems Subject to Unilateral Constraints
Asynchronous Parallel Nonconvex Optimization Under the Polyak-Łojasiewicz Condition
Resilient Constrained Optimization in Multi-Agent Systems With Improved Guarantee on Approximation Bounds
Augmenting MPC Schemes With Active Learning: Intuitive Tuning and Guaranteed Performance
Contraction-Based Control of Switched Nonlinear Systems Using Dwell Times and Switched Contraction Metrics
A New Method for the H₂ Problem of Hidden Markov Jump Linear Systems
DR-PETS: Learning-Based Control With Planning in Adversarial Environments
Continuous Finite-Time Output Regulation of Nonlinear Systems With Unmatched Time-Varying Disturbances
Homography-Based Sampled-Data Visual Servoing
Computing Minimal and Maximal Allowable Transmission Intervals for Networked Control Systems Using the Hybrid Systems Approach
Fast Stochastic MPC Implementation via Policy Learning
Recursive Averaging With Application to Bio-Inspired 3-D Source Seeking
Controller Design via Experimental Exploration With Robustness Guarantees
A Simple Sufficient Condition for Convergence of Projected Consensus Algorithm
Fast Optimal Energy Management With Engine On/Off Decisions for Plug-in Hybrid Electric Vehicles
Sampled-Data Reduction of Nonlinear Input-Delayed Dynamics
Frequency Shaping Control for Weakly-Coupled Grid-Forming IBRs
Online Safety Under Multiple Constraints and Input Bounds Using gatekeeper: Theory and Applications
Cascaded Model Predictive Control of a Tandem-Rotor Helicopter
Model Parameter Identification via a Hyperparameter Optimization Scheme for Autonomous Racing Systems
Computable Convergence Rate Bound for Ratio Consensus Algorithms
Constrained Optimal Average Power Control for Wireless Transmission
Gradient Methods for Fixed Structure Controller Synthesis and System Identification of Decomposable Systems
Differentiator for Noisy Sampled Signals With Best Worst-Case Accuracy
Solving Stochastic LQR Problems by Polynomial Chaos
Positive Definiteness in Linear Matrix Inequality Problem for H-Infinity Output Feedback Control Problem
Off-Policy Temporal Difference Learning for Perturbed Markov Decision Processes
Mediated Remote Synchronization of Kuramoto-Sakaguchi Oscillators: The Number of Mediators Matters
Elastic Structure Preserving Impedance Control for Nonlinearly Coupled Tendon-Driven Systems
On Global Optimization for Informative Path Planning
Iterative Feedback Tuning of Cascade Control of Two-Inertia System
Output Feedback Stable Stochastic Predictive Control With Hard Control Constraints
Learning Distributed Stabilizing Controllers for Multi-Agent Systems
Anti-Windup Compensation for Quadrotor Trajectory Tracking With External Disturbances
Distributed Actuator Selection: Achieving Optimality via a Primal-Dual Algorithm
Data-Driven Control Based on Virtual Reference Feedback Tuning With Optimal Reference Model for Non-Minimum Phase Multivariable Systems
Event-Triggered Control for Discrete-Time Systems Using a Positive Systems Approach
Games for Efficient Supervisor Synthesis
Control Barrier Functions in Sampled-Data Systems
On Feedback Design for Systems With an Agent in the Loop
Adaptive Model Predictive Controller for Building Thermal Dynamics
A Bi-Level Optimization Method for Redundant Dual-Arm Minimum Time Problems
A Consensus Q-Learning Approach for Decentralized Control of Shared Energy Storage
PD Tracking for a Class of Underactuated Robotic Systems With Kinetic Symmetry
On the Uniqueness of Solution to the Inverse Optimal Control Problem for the Hard-Constrained Minimum Principle-Based Method
Compression-Based Privacy Preservation for Distributed Nash Equilibrium Seeking in Aggregative Games
State-Space Kolmogorov Arnold Networks for Interpretable Nonlinear System Identification
Adaptive Multi-Agent Coverage Control With Obstacle Avoidance
Optimal Control of Diffusion Processes: Infinite-Order Variational Analysis and Numerical Solution
Computing Control Directions of Continuous-Time Nonlinear Systems With Disturbances
Distributed Mirror Descent With Integral Feedback: Asymptotic Convergence Analysis of Continuous-Time Dynamics
Coherency-Aware Learning Control of Inverter-Dominated Grids: A Distributed Risk-Constrained Approach
Control-Guided Communication: Efficient Resource Arbitration and Allocation in Multi-Hop Wireless Control Systems
Tractable Reinforcement Learning for Signal Temporal Logic Tasks With Counterfactual Experience Replay
Designing Safety Certificates for H ∞ Control of Unknown Linear Systems
Prescribed-Time Formation Control of Second-Order Multi-Agent Systems in Presence of Actuator Faults
Distributed Adaptive Control of Disturbed Interconnected Systems With High-Order Tuners
Stochastic MPC for Linear Systems With Unbounded Multiplicative Noise Guaranteeing Closed-Loop Chance Constraints Satisfaction
Primary Control Effort Under Fluctuating Power Generation in Realistic High-Voltage Power Networks
A Stable High-Order Tuner for General Convex Functions
Energy Cyclo-Directionality, Average Equipartition and Exergy Efficiency of Multidomain Power Networks
Data-Driven Model-Reference Control With Closed-Loop Stability: The Output-Feedback Case
Cascaded Antithetic Integral Feedback for Enhanced Stability and Performance
Constructive Averaging of a Class of Parabolic PDEs With Applications to Vibrational Control
Analysis of a Minimal Gene Regulatory Network for Cell Differentiation
Indirect Adaptive Control of Piecewise Affine Systems Without Common Lyapunov Functions