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: "compositional abstraction and safety synthesis using overlapping symbolic models"
  Abstract: In this paper, we develop a compositional approach to abstraction and safety synthesis for a general class of discrete time nonlinear systems. Our approach makes it possible to define a symbolic abstraction by composing a set of symbolic subsystems that are overlapping in the sense that they can share some common state variables. We develop compositional safety synthesis techniques using such overlapping symbolic subsystems. Comparisons, in terms of conservativeness and of computational complexity, between abstractions and controllers obtained from different system decompositions are provided. Numerical experiments show that the proposed approach for symbolic control synthesis enables a significant complexity reduction with respect to the centralized approach, while reducing the conservatism with respect to compositional approaches using non-overlapping subsystems.

Connected through hyperedge HE-1 (induced by source paper "flexible computational pipelines for robust abstraction based control synthesis"):
  with members:
    - "nonuniform abstractions refinement and controller synthesis with novel bdd encodings"
    - "robust abstractions for control synthesis completeness via robustness for linear time properties"
    - "sparsity aware finite abstraction"

Connected through hyperedge HE-2 (induced by source paper "compositional synthesis of symbolic models for networks of switched systems"):
  with members:
    - "compositional synthesis of finite abstractions for networks of systems a small gain approach"
    - "from dissipativity theory to compositional synthesis of symbolic models"

Connected through hyperedge HE-3 (induced by source paper "compositional in finite abstractions for large scale interconnected stochastic systems"):
  with members:
    - "compositional abstraction based synthesis of general mdps via approximate probabilistic relations"
    - "compositional construction of infinite abstractions for networks of stochastic control systems"
    - "compositional abstractions of interconnected discrete time stochastic control systems"
    - "from dissipativity theory to compositional synthesis of symbolic models"
    - "from dissipativity theory to compositional construction of finite markov decision processes"
    - "dynamic bayesian networks as formal abstractions of structured stochastic processes"

Connected through hyperedge HE-4 (induced by source paper "automatic generation of communication requirements for enforcing multi agent safety"):
  with members:
    - "sparsity aware finite abstraction"

Connected through hyperedge HE-5 (induced by source paper "compositional synthesis of finite abstractions for networks of systems a small gain approach"):
  with members:
    - "from dissipativity theory to compositional synthesis of symbolic models"

Connected through hyperedge HE-6 (induced by source paper "on the timed temporal logic planning of coupled multi agent systems"):
  with members:
    - "timed automata approach for motion planning using metric interval temporal logic"
    - "synthesis of separable controlled invariant sets for modular local control design"
    - "decentralized abstractions for multi agent systems under coupled constraints"
    - "cooperative task planning of multi agent systems under timed temporal specifications"
    - "robust connectivity analysis for multi agent systems"
    - "computational methods for stochastic control with metric interval temporal logic specifications"

Connected through hyperedge HE-7 (induced by source paper "from dissipativity theory to compositional construction of finite markov decision processes"):
  with members:
    - "compositional construction of infinite abstractions for networks of stochastic control systems"
    - "compositional abstractions of interconnected discrete time stochastic control systems"
    - "compositional construction of finite state abstractions for stochastic control systems"
    - "dynamic bayesian networks as formal abstractions of structured stochastic processes"

Connected through hyperedge HE-8 (induced by source paper "control synthesis for permutation symmetric high dimensional systems with counting constraints"):
  with members:
    - "safe schedulability of bounded rate multi mode systems"
    - "aggregation and control of populations of thermostatically controlled loads by formal abstractions"
    - "constructive discrepancy minimization by walking on the edges"

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)