human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "a characterization of the minimal average data rate that guarantees a given closed loop performance level"):
  Abstract: This paper studies networked control systems closed over noiseless digital channels. We focus on noisy linear time-invariant (LTI) plants with stationary Gaussian disturbances, Gaussian initial state, scalar-valued control inputs and sensor outputs. For this set-up, we show that the absolute minimal directed information rate that allows one to achieve a prescribed level of performance (not necessarily stationary), over all combinations of encoder-controller-decoder, is achieved when the decoder output is jointly Gaussian with the other signals in the system. This directed information rate lower bounds the achievable operational data rates. When restricting our attention to encoder-controller-decoders which make the random processes in the loop (strongly) asymptotically wide-sense stationary, this bound can be expressed in terms of their asymptotic power spectral densities. Then we show that the directed information rate and stationary performance of any such scheme can be achieved when the concatenated encoder, channel, controller and decoder behave as an AWGN channel with LTI filters. We also present a simple coding scheme that allows one to achieve (operational) average data rates that are at most (approximately) 1.254 bits away from the derived lower bound, while satisfying the performance constraint. A numerical example is presented to illustrate our findings.

Includes members:
  Member "the entropy gain of linear time invariant filters and some of its implications":
    also connected through other hyperedges:
      (none)
  Member "fundamental inequalities and identities involving mutual and directed informations in closed loop systems":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "interplay between transmission delay average data rate and performance in output feedback control over digital communication channels")
  Member "improved upper bounds to the causal quadratic rate distortion function for gaussian stationary sources":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a converse bound characterization on zero delay indirect rdf for vector gauss markov sources")
  Member "the quadratic gaussian rate distortion function for source uncorrelated distortions":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "capacity bounds for communication systems with quantization and spectral constraints")
  Member "feedback capacity of stationary gaussian channels":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "capacity of continuous channels with memory via directed information neural estimator")

Question: Please tell me which class the source paper belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.SY(Systems and Control)