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 "sparse packetized predictive control for networked control over erasure channels"):
  Abstract: We study feedback control over erasure channels with packet-dropouts. To achieve robustness with respect to packet-dropouts, the controller transmits data packets containing plant input predictions, which minimize a finite horizon cost function. To reduce the data size of packets, we propose to adopt sparsity-promoting optimizations, namely,   $ \ell ^{1} {\rm \mathchar"702D }\ell ^{2}$   and    $\ell ^{2}$  -constrained    $\ell ^{0}$   optimizations, for which efficient algorithms exist. We show how to design the tuning parameters to ensure (practical) stability of the resulting feedback control systems when the number of consecutive packet-dropouts is bounded.

Includes members:
  Member "sparse representations for packetized predictive networked control":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "optimal control of linear systems with limited control actions threshold based event triggered control")
  Member "compressive sampling for networked feedback control":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "min max piecewise constant optimal control for multi model linear systems")
  Member "compressive sampling for remote control systems":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "min max piecewise constant optimal control for multi model linear systems")
  Member "packetized predictive control for rate limited networks via sparse representation":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "networked estimation using sparsifying basis prediction")
  Member "sparse command generator for remote control":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "compressive sampling for networked feedback control")

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)