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: "cooperative decentralized multi agent control under local ltl tasks and connectivity constraints"
  Abstract: We propose a framework for the decentralized control of a team of agents that are assigned local tasks expressed as Linear Temporal Logic (LTL) formulas. Each local LTL task specification captures both the requirements on the respective agent's behavior and the requests for the other agents' collaborations needed to accomplish the task. Furthermore, the agents are subject to communication constraints. The presented solution follows the automata-theoretic approach to LTL model checking, however, it avoids the computationally demanding construction of synchronized product system between the agents. We suggest a decentralized coordination among the agents through a dynamic leader-follower scheme, to guarantee the low-level connectivity maintenance at all times and a progress towards the satisfaction of the leader's task. By a systematic leader switching, we ensure that each agent's task will be accomplished.

Connected through hyperedge HE-1 (induced by source paper "census signal temporal logic inference for multiagent group behavior analysis"):
  with members:
    - "using temporal data for making recommendations"

Connected through hyperedge HE-2 (induced by source paper "decomposition of multi agent planning under distributed motion and task ltl specifications"):
  with members:
    - "multi agent planning under local ltl specifications and event based synchronization"
    - "a receding horizon approach to multi agent planning from local ltl specifications"
    - "multi robot deployment from ltl specifications with reduced communication"

Connected through hyperedge HE-3 (induced by source paper "distributed cooperative manipulation under timed temporal specifications"):
  with members:
    - "cooperative task planning of multi agent systems under timed temporal specifications"

Connected through hyperedge HE-4 (induced by source paper "simultaneous intermittent communication control and path optimization in networks of mobile robots"):
  with members:
    - "synthesis of distributed control and communication schemes from global ltl specifications"

Connected through hyperedge HE-5 (induced by source paper "communication free multi agent control under local temporal tasks and relative distance constraints"):
  with members:
    - "a receding horizon approach to multi agent planning from local ltl specifications"
    - "multi robot deployment from ltl specifications with reduced communication"

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)