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: "sparsity aware finite abstraction"
  Abstract: The abstraction of a continuous-space control system into a dynamical model with finite states and inputs is a key step in automated formal controller synthesis. To date, common software tools have been limited to systems of modest size (typically < 7 dimensions), because the current abstraction procedure suffers from an exponential runtime with respect to the sum of state and input dimensions. We present a simple modification of the abstraction algorithm, which dramatically reduces the computation time for systems exhibiting a sparse interconnection structure. The modified method recovers the same finite abstraction as the one computed by a brute force algorithm that disregards the sparsity. Examples highlight speedups from existing benchmarks in the literature, and illustrate the synthesis of a safety controller for a 12-dimensional and the abstraction of a 51-dimensional vehicular traffic network.

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"
    - "compositional abstraction and safety synthesis using overlapping symbolic models"

Connected through hyperedge HE-2 (induced by source paper "lazy abstraction based controller synthesis"):
  with members:
    - "lazy abstraction based control for safety specifications"
    - "nonuniform abstractions refinement and controller synthesis with novel bdd encodings"
    - "lazy abstractions for timed automata"
    - "cpachecker a tool for configurable software verification"

Connected through hyperedge HE-3 (induced by source paper "automatic generation of communication requirements for enforcing multi agent safety"):
  with members:
    - "compositional abstraction and safety synthesis using overlapping symbolic models"

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)