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: "consensus of hybrid multi agent systems"
  Abstract: In this paper, we consider the consensus problem of hybrid multi-agent system. First, the hybrid multi-agent system is proposed which is composed of continuous-time and discrete-time dynamic agents. Then, three kinds of consensus protocols are presented for hybrid multi-agent system. The analysis tool developed in this paper is based on the matrix theory and graph theory. With different restrictions of the sampling period, some necessary and sufficient conditions are established for solving the consensus of hybrid multi-agent system. The consensus states are also obtained under different protocols. Finally, simulation examples are provided to demonstrate the effectiveness of our theoretical results.

Connected through hyperedge HE-1 (induced by source paper "smix lambda enhancing centralized value functions for cooperative multi agent reinforcement learning"):
  with members:
    - "understanding multi step deep reinforcement learning a systematic study of the dqn target"
    - "the starcraft multi agent challenge"
    - "qtran learning to factorize with transformation for cooperative multi agent reinforcement learning"
    - "a survey and critique of multiagent deep reinforcement learning"
    - "human level performance in 3d multiplayer games with population based reinforcement learning"
    - "qmix monotonic value function factorisation for deep multi agent reinforcement learning"
    - "breaking the curse of horizon infinite horizon off policy estimation"
    - "off policy deep reinforcement learning without exploration"

Connected through hyperedge HE-2 (induced by source paper "lstm assisted evolutionary self expressive subspace clustering"):
  with members:
    - "theoretical analysis of sparse subspace clustering with missing entries"
    - "evolutionary self expressive models for subspace clustering"
    - "accelerated sparse subspace clustering"
    - "correlation adaptive subspace segmentation by trace lasso"
    - "adaptive evolutionary clustering"
    - "robust recovery of subspace structures by low rank representation"
    - "greedy feature selection for subspace clustering"

Connected through hyperedge HE-3 (induced by source paper "limited budget output consensus for descriptor multiagent systems with energy constraints"):
  with members:
    - "on performance of peer review for academic journals analysis based on distributed parallel system"
    - "guaranteed cost consensus for multiagent networks with lipschitz nonlinear dynamics and switching topologies"
    - "completely distributed guaranteed performance consensualization for high order multiagent systems with switching topologies"

Connected through hyperedge HE-4 (induced by source paper "completely distributed guaranteed performance consensualization for high order multiagent systems with switching topologies"):
  with members:
    - "on almost controllability of dynamical complex networks with noises"
    - "dynamic output feedback guaranteed cost synchronization for multiagent networks with given cost budgets"
    - "adaptive guaranteed performance consensus design for high order multiagent systems"
    - "guaranteed cost consensus for multiagent networks with lipschitz nonlinear dynamics and switching topologies"
    - "consensus of multi agent systems with general linear and lipschitz nonlinear dynamics using distributed adaptive protocols"

Connected through hyperedge HE-5 (induced by source paper "adaptive guaranteed performance consensus design for high order multiagent systems"):
  with members:
    - "on almost controllability of dynamical complex networks with noises"
    - "dynamic output feedback guaranteed cost synchronization for multiagent networks with given cost budgets"
    - "guaranteed cost consensus for multiagent networks with lipschitz nonlinear dynamics and switching topologies"
    - "completely distributed guaranteed performance consensualization for high order multiagent systems with switching topologies"

Connected through hyperedge HE-6 (induced by source paper "delta operator based consensus analysis of multi agent networks with link failures"):
  with members:
    - "sensor networks with random links topology design for distributed consensus"

Connected through hyperedge HE-7 (induced by source paper "distributed algorithms for solving convex inequalities"):
  with members:
    - "a distributed algorithm for solving a linear algebraic equation"
    - "continuous time consensus under non instantaneous reciprocity"
    - "zero gradient sum algorithms for distributed convex optimization the continuous time case"
    - "gossip algorithms for distributed signal processing"
    - "distributed parameter estimation in sensor networks nonlinear observation models and imperfect communication"

Connected through hyperedge HE-8 (induced by source paper "opinion dynamics in social networks with stubborn agents an issue based perspective"):
  with members:
    - "novel multidimensional models of opinion dynamics in social networks"
    - "ergodic randomized algorithms and dynamics over networks"
    - "biased assimilation homophily and the dynamics of polarization"
    - "how bad is forming your own opinion"

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)