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 "optimal infinite horizon decentralized networked controllers with unreliable communication"):
  Abstract: We consider a decentralized networked control system (DNCS) consisting of a remote controller and a collection of linear plants, each associated with a local controller. Each local controller directly observes the state of its co-located plant and can inform the remote controller of the plant's state through an unreliable uplink channel. The downlink channels from the remote controller to local controllers were assumed to be perfect. The objective of the local controllers and the remote controller is to cooperatively minimize the infinite horizon time average of expected quadratic cost. The finite horizon version of this problem was solved in our prior work [2]. The optimal strategies in the finite horizon case were shown to be characterized by coupled Riccati recursions. In this paper, we show that if the link failure probabilities are below certain critical thresholds, then the coupled Riccati recursions of the finite horizon solution reach a steady state and the corresponding decentralized strategies are optimal. Above these thresholds, we show that no strategy can achieve finite cost. We exploit a connection between our DNCS Riccati recursions and the coupled Riccati recursions of an auxiliary Markov jump linear system to obtain our results. Our main results in Theorems 1 and 2 explicitly identify the critical thresholds for the link failure probabilities and the optimal decentralized control strategies when all link failure probabilities are below their thresholds.

Includes members:
  Member "optimal local and remote controllers with unreliable uplink channels":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "regret bounds for decentralized learning in cooperative multi agent dynamical systems")
  Member "dynamic teams and decentralized control problems with substitutable actions":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "decentralized control of stochastically switched linear system with unreliable communication")
  Member "optimal local and remote controllers with unreliable communication":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "decentralized control of stochastically switched linear system with unreliable communication")
  Member "decentralized control problems with substitutable actions":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "decentralized control of stochastically switched linear system with unreliable communication")
  Member "optimal control of two player systems with output feedback":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "team optimal decentralized state estimation of linear stochastic processes by agents with non classical information structures")
  Member "optimal control for lqg systems on graphs part i structural results":
    also connected through other hyperedges:
      (none)
  Member "optimal decentralized state feedback control with sparsity and delays":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "explicit agent level optimal cooperative controllers for dynamically decoupled systems with output feedback")
  Member "distributed output feedback lqg control with delayed information sharing":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "the h2 control problem for quadratically invariant systems with delays")

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)