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: "controller synthesis with inductive proofs for piecewise linear systems an smt based algorithm"
  Abstract: We present a controller synthesis algorithm for reach-avoid problems for piecewise linear discrete-time systems. Our algorithm relies on SMT solvers and in this paper we focus on piecewise constant control strategies. Our algorithm generates feedback control laws together with inductive proofs of unbounded time safety and progress properties with respect to the reach-avoid sets. Under a reasonable robustness assump- tion, the algorithm is shown to be complete. That is, it either generates a controller of the above type along with a proof of correctness, or it establishes the impossibility of the existence of such controllers. To achieve this, the algorithm iteratively attempts to solve a weakened and strengthened versions of the SMT encoding of the reach-avoid problem. We present preliminary experimental results on applying this algorithm based on a prototype implementation.

Connected through hyperedge HE-1 (induced by source paper "hyperproperties for robotics planning via hyperltl"):
  with members:
    - "security aware synthesis using delayed action games"
    - "stylus a temporal logic optimal control synthesis algorithm for large scale multi robot systems"
    - "robust motion planning employing signal temporal logic"

Connected through hyperedge HE-2 (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"
    - "counterexample guided synthesis of switched controllers for reach while stay properties"
    - "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-3 (induced by source paper "formal policy learning from demonstrations for reachability properties"):
  with members:
    - "learning control lyapunov functions from counterexamples and demonstrations"
    - "sound and automated synthesis of digital stabilizing controllers for continuous plants"
    - "plato policy learning using adaptive trajectory optimization"
    - "a theory of formal synthesis via inductive learning"
    - "counter example guided synthesis of control lyapunov functions for switched systems"
    - "a reduction of imitation learning and structured prediction to no regret online learning"
    - "webotstm professional mobile robot simulation"

Connected through hyperedge HE-4 (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"
    - "counterexample guided synthesis of switched controllers for reach while stay properties"
    - "counter example guided synthesis of control lyapunov functions for switched systems"

Connected through hyperedge HE-5 (induced by source paper "learning lyapunov potential functions from counterexamples and demonstrations"):
  with members:
    - "plato policy learning using adaptive trajectory optimization"
    - "a theory of formal synthesis via inductive learning"
    - "learning deep control policies for autonomous aerial vehicles with mpc guided policy search"
    - "control design along trajectories with sums of squares programming"

Connected through hyperedge HE-6 (induced by source paper "a class of control certificates to ensure reach while stay for switched systems"):
  with members:
    - "counter example guided synthesis of control lyapunov functions for switched systems"
    - "automata theory meets barrier certificates temporal logic verification of nonlinear systems"
    - "exponential condition based barrier certificate generation for safety verification of hybrid systems"

Connected through hyperedge HE-7 (induced by source paper "a counter example guided framework for robust synthesis of switched systems using control certificates"):
  with members:
    - "counterexample guided synthesis of switched controllers for reach while stay properties"
    - "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)