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: "gain scheduled synchronization of parameter varying systems via relative h consensus with application to synchronization of uncertain bilinear systems"
  Abstract: The paper considers a problem of consensus-based synchronization of uncertain parameter varying multi-agent systems. We present a method for constructing consensus-based synchronization protocol schedules for each agent to ensure it synchronizes with a reference parameter-varying system. The proposed protocol guarantees a specified level of H ∞ transient consensus between the agents. The algorithm uses a consensus-preserving interpolation and produces continuous (in the scheduling parameter) coefficients for the protocol. An application to synchronization of uncertain bilinear systems is discussed.

Connected through hyperedge HE-1 (induced by source paper "detection and mitigation of biasing attacks on distributed estimation networks"):
  with members:
    - "byzantine resilient distributed observers for lti systems"
    - "controller jammer game models of denial of service in control systems operating over packet dropping links"
    - "detection of biasing attacks on distributed estimation networks"
    - "distributed observers for lti systems"
    - "detectability of distributed consensus based observer networks an elementary analysis and extensions"
    - "on the genericity properties in distributed estimation topology design and sensor placement"
    - "conditions for detectability in distributed consensus based observer networks"

Connected through hyperedge HE-2 (induced by source paper "robust detection of biasing attacks on misappropriated distributed observers via decentralized h_ infty synthesis"):
  with members:
    - "detection of biasing attacks on distributed estimation networks"
    - "minimum energy distributed filtering"
    - "distributed robust estimation over randomly switching networks using h consensus"

Connected through hyperedge HE-3 (induced by source paper "cooperative robust estimation with local performance guarantees"):
  with members:
    - "minimum energy distributed filtering"
    - "distributed robust estimation over randomly switching networks using h consensus"

Connected through hyperedge HE-4 (induced by source paper "gain scheduled leader follower tracking control for interconnected parameter varying systems"):
  with members:
    - "guaranteed cost tracking for uncertain coupled multi agent systems using consensus over a directed graph"
    - "conditions for detectability in distributed consensus based observer networks"

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)