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: "counterexample guided synthesis of switched controllers for reach while stay properties"
  Abstract: We introduce a counter-example guided inductive synthesis (CEGIS) framework for synthesizing continuous-time switching controllers that guarantee reach while stay (RWS) properties of the closed loop system. The solution is based on synthesizing specially defined class of control Lyapunov functions (CLFs) for switched systems, that yield switching controllers with a guaranteed minimum dwell time in each mode. Next, we use a CEGIS-based approach to iteratively solve the resulting quantified exists-forall constraints, and find a CLF. We introduce relaxations to guarantee termination, as well as heuristics to increase convergence speed. Finally, we evaluate our approach on a set of benchmarks ranging from two to six state variables. Our evaluation includes a preliminary comparison with related tools. The proposed approach shows the promise of nonlinear SMT solvers for the synthesis of provably correct switching control laws.

Connected through hyperedge HE-1 (induced by source paper "learning control lyapunov functions from counterexamples and demonstrations"):
  with members:
    - "path following through control funnel functions"
    - "safe learning of quadrotor dynamics using barrier certificates"
    - "learning lyapunov potential functions from counterexamples and demonstrations"
    - "a theory of formal synthesis via inductive learning"
    - "controller synthesis with inductive proofs for piecewise linear systems an smt based algorithm"
    - "counter example guided synthesis of control lyapunov functions for switched systems"
    - "learning deep control policies for autonomous aerial vehicles with mpc guided policy search"
    - "torque saturation in bipedal robotic walking through control lyapunov function based quadratic programs"

Connected through hyperedge HE-2 (induced by source paper "inductive certificate synthesis for control design"):
  with members:
    - "learning control lyapunov functions from counterexamples and demonstrations"
    - "path following through control funnel functions"
    - "the reach avoid problem for constant rate multi mode systems"
    - "automated formal synthesis of digital controllers for state space physical plants"
    - "learning lyapunov potential functions from counterexamples and demonstrations"
    - "a theory of formal synthesis via inductive learning"
    - "controller synthesis with inductive proofs for piecewise linear systems an smt based algorithm"
    - "counter example guided synthesis of control lyapunov functions for switched systems"

Connected through hyperedge HE-3 (induced by source paper "a counter example guided framework for robust synthesis of switched systems using control certificates"):
  with members:
    - "controller synthesis with inductive proofs for piecewise linear systems an smt based algorithm"
    - "counter example guided synthesis of control lyapunov functions for switched systems"

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)