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 control of coupled subsystems with control sharing"
  Abstract: Subsystems that are coupled due to dynamics and costs arise naturally in various communication applications. In many such applications the control actions are shared between different control stations giving rise to a \emph{control sharing} information structure. Previous studies of control-sharing have concentrated on the linear quadratic Gaussian setup and a solution approach tailored to continuous valued control actions. In this paper a three step solution approach for finite valued control actions is presented. In the first step, a person-by-person approach is used to identify redundant data or a sufficient statistic for local information at each control station. In the second step, the common-information based approach of Nayyar et al.\ (2011) is used to find a sufficient statistic for the common information shared between all control stations and to obtain a dynamic programming decomposition. In the third step, the specifics of the model are used to simplify the sufficient statistic and the dynamic program. As an example, an exact solution of a two-user multiple access broadcast system is presented.

Connected through hyperedge HE-1 (induced by source paper "sequential decomposition of dynamic games with asymmetric information and dependent states"):
  with members:
    - "safe and nested subgame solving for imperfect information games"
    - "decentralized bayesian learning in dynamic games"
    - "dynamic games with asymmetric information common information based perfect bayesian equilibria and sequential decomposition"
    - "decentralized stochastic control with partial history sharing a common information approach"

Connected through hyperedge HE-2 (induced by source paper "optimal local and remote controllers with unreliable uplink channels"):
  with members:
    - "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"
    - "structural results and explicit solution for two player lqg systems on a finite time horizon"
    - "decentralized stochastic control with partial history sharing a common information approach"
    - "optimal strategies for communication and remote estimation with an energy harvesting sensor"

Connected through hyperedge HE-3 (induced by source paper "planning for decentralized control of multiple robots under uncertainty"):
  with members:
    - "incremental clustering and expansion for faster optimal planning in dec pomdps"
    - "the complexity of decentralized control of markov decision processes"

Connected through hyperedge HE-4 (induced by source paper "signaling for decentralized routing in a queueing network"):
  with members:
    - "decentralized stochastic control with partial history sharing a common information approach"

Connected through hyperedge HE-5 (induced by source paper "decentralized stochastic control with partial history sharing a common information approach"):
  with members:
    - "optimal control strategies in delayed sharing information structures"
    - "on the structure of real time encoders and decoders in a multi terminal communication system"

Connected through hyperedge HE-6 (induced by source paper "on optimal causal coding of partially observed markov sources in single and multi terminal settings"):
  with members:
    - "optimal control strategies in delayed sharing information structures"
    - "on the capacity of memoryless finite state multiple access channels with asymmetric state information at the encoders"
    - "a new achievable rate region for the discrete memoryless multiple access channel with noiseless feedback"

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)