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: "provably safe cruise control of vehicular platoons"
  Abstract: We synthesize performance-aware safe cruise control policies for longitudinal motion of platoons of autonomous vehicles. Using set-invariance theories, we guarantee infinite-time collision avoidance in the presence of bounded additive disturbances, while ensuring that the length and the cruise speed of the platoon are bounded within specified ranges. We propose: 1) a centralized control policy and 2) a distributed control policy, where each vehicle’s control decision depends solely on its relative kinematics with respect to the platoon leader. Numerical examples are included.

Connected through hyperedge HE-1 (induced by source paper "distributed synthesis of local controllers for networked systems with arbitrary interconnection topologies"):
  with members:
    - "sequential synthesis of distributed controllers for cascade interconnected systems"
    - "plug and play voltage and frequency control of islanded microgrids with meshed topology"
    - "plug and play model predictive control based on robust control invariant sets"

Connected through hyperedge HE-2 (induced by source paper "sequential synthesis of distributed controllers for cascade interconnected systems"):
  with members:
    - "plug and play model predictive control based on robust control invariant sets"

Connected through hyperedge HE-3 (induced by source paper "cyber physical security and safety of autonomous connected vehicles optimal control meets multi armed bandit learning"):
  with members:
    - "sleeping multi armed bandit learning for fast uplink grant allocation in machine type communications"
    - "robust deep reinforcement learning for security and safety in autonomous vehicle systems"
    - "joint communication and control for wireless autonomous vehicular platoon systems"
    - "stochastic optimization and control framework for 5g network slicing with effective isolation"
    - "deep learning for signal authentication and security in massive internet of things systems"
    - "deep learning for reliable mobile edge analytics in intelligent transportation systems"
    - "a colonel blotto game for interdependence aware cyber physical systems security in smart cities"
    - "a survey on low latency towards 5g ran core network and caching solutions"

Connected through hyperedge HE-4 (induced by source paper "robust distributed control beyond quadratic invariance"):
  with members:
    - "distributed robust set invariance for interconnected linear systems"
    - "the value of communication in designing robust distributed controllers"
    - "optimal distributed control for platooning via sparse coprime factorizations"

Connected through hyperedge HE-5 (induced by source paper "lowering the upper bounds on the cost of robust distributed controllers beyond quadratic invariance"):
  with members:
    - "optimal distributed control for platooning via sparse coprime factorizations"

Connected through hyperedge HE-6 (induced by source paper "distributed robust set invariance for interconnected linear systems"):
  with members:
    - "synthesis of separable controlled invariant sets for modular local control design"
    - "optimal distributed control for platooning via sparse coprime factorizations"

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)