human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "optimal decentralized state feedback control with sparsity and delays"
  Abstract: This work presents the solution to a class of decentralized linear quadratic state-feedback control problems, in which the plant and controller must satisfy the same combination of delay and sparsity constraints. Using a novel decomposition of the noise history, the control problem is split into independent subproblems that are solved using dynamic programming. The approach presented herein both unifies and generalizes many existing results.

Connected through hyperedge HE-1 (induced by source paper "explicit agent level optimal cooperative controllers for dynamically decoupled systems with output feedback"):
  with members:
    - "optimal control of two player systems with output feedback"

Connected through hyperedge HE-2 (induced by source paper "optimal infinite horizon decentralized networked controllers with unreliable communication"):
  with members:
    - "optimal local and remote controllers with unreliable uplink channels"
    - "dynamic teams and decentralized control problems with substitutable actions"
    - "optimal local and remote controllers with unreliable communication"
    - "decentralized control problems with substitutable actions"
    - "optimal control of two player systems with output feedback"
    - "optimal control for lqg systems on graphs part i structural results"
    - "distributed output feedback lqg control with delayed information sharing"
    - "decentralized stochastic control with partial history sharing a common information approach"

Connected through hyperedge HE-3 (induced by source paper "information constrained optimal control of distributed systems with power constraints"):
  with members:
    - "decentralized stochastic control with partial history sharing a common information approach"

Connected through hyperedge HE-4 (induced by source paper "game theoretic multi agent control and network cost allocation under communication constraints"):
  with members:
    - "sparsity constrained nonlinear optimization optimality conditions and algorithms"

Connected through hyperedge HE-5 (induced by source paper "sparsity constrained games and distributed optimization with applications to wide area control of power systems"):
  with members:
    - "sparsity constrained nonlinear optimization optimality conditions and algorithms"

Question: Please tell me which class the center node 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)