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: "diagnosis and repair for synthesis from signal temporal logic specifications"
  Abstract: We address the problem of diagnosing and repairing specifications for hybrid systems formalized in signal temporal logic (STL). Our focus is on the setting of automatic synthesis of controllers in a model predictive control (MPC) framework. We build on recent approaches that reduce the controller synthesis problem to solving one or more mixed integer linear programs (MILPs), where infeasibility of a MILP usually indicates unrealizability of the controller synthesis problem. Given an infeasible STL synthesis problem, we present algorithms that provide feedback on the reasons for unrealizability, and suggestions for making it realizable. Our algorithms are sound and complete, i.e., they provide a correct diagnosis, and always terminate with a non-trivial specification that is feasible using the chosen synthesis method, when such a solution exists. We demonstrate the effectiveness of our approach on the synthesis of controllers for various cyber-physical systems, including an autonomous driving application and an aircraft electric power system.

Connected through hyperedge HE-1 (induced by source paper "a new simulation metric to determine safe environments and controllers for systems with unknown dynamics"):
  with members:
    - "soter programming safe robotics system using runtime assurance"
    - "soter a runtime assurance framework for programming safe robotics systems"
    - "goal driven dynamics learning via bayesian optimization"
    - "a general safety framework for learning based control in uncertain robotic systems"
    - "fastrack a modular framework for fast and guaranteed safe motion planning"
    - "learning quadrotor dynamics using neural network for flight control"
    - "towards verified artificial intelligence"

Connected through hyperedge HE-2 (induced by source paper "metrics for signal temporal logic formulae"):
  with members:
    - "mining parametric temporal logic properties in model based design for cyber physical systems"
    - "time window temporal logic"
    - "on the minimal revision problem of specification automata"
    - "on line monitoring for temporal logic robustness"

Connected through hyperedge HE-3 (induced by source paper "towards verified artificial intelligence"):
  with members:
    - "systematic testing of convolutional neural networks for autonomous driving"
    - "compositional falsification of cyber physical systems with machine learning components"
    - "concrete problems in ai safety"
    - "constrained sampling and counting universal hashing meets sat solving"
    - "a theory of formal synthesis via inductive learning"
    - "analysis of classifiers robustness to adversarial perturbations"
    - "deepfool a simple and accurate method to fool deep neural networks"
    - "safe platooning of unmanned aerial vehicles via reachability"

Connected through hyperedge HE-4 (induced by source paper "robust control for signal temporal logic specifications using average space robustness"):
  with members:
    - "robust motion planning employing signal temporal logic"
    - "temporal logic as filtering"
    - "control with probabilistic signal temporal logic"
    - "robust linear temporal logic"
    - "robust temporal logic model predictive control"
    - "cooperative task planning of multi agent systems under timed temporal specifications"
    - "robustness analysis for value freezing signal temporal logic"

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)