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: "control of multi agent systems with finite time control barrier certificates and temporal logic"
  Abstract: In this paper, a method to synthesize controllers using finite time convergence control barrier functions guided by linear temporal logic specifications for continuous time multi-agent dynamical systems is proposed. Finite time convergence to a desired set in the state space is guaranteed under the existence of a suitable finite time convergence control barrier function. In addition, these barrier functions also guarantee forward invariance once the system converges to the desired set. This allows us to formulate a theoretical framework which synthesizes controllers for the multi-agent system. These properties also enable us to solve the reachability problem in continuous time by formulating a theorem on the composition of multiple finite time convergence control barrier functions. This approach is more flexible than existing methods and also allows for a greater set of feasible control laws. Linear temporal logic is used to specify complex task specifications that need to be satisfied by the multi-agent system. With this solution methodology, a control law is synthesized that satisfies the given temporal logic task specification. Robotic experiments are provided which were performed on the Robotarium multi-robot testbed at Georgia Tech.

Connected through hyperedge HE-1 (induced by source paper "synthesis of control barrier functions using a supervised machine learning approach"):
  with members:
    - "autonomous navigation in unknown environments using sparse kernel based occupancy mapping"
    - "control barrier functions theory and applications"
    - "an optimal task allocation strategy for heterogeneous multi robot systems"
    - "end to end safe reinforcement learning through barrier functions for safety critical continuous control tasks"
    - "the lyapunov neural network adaptive stability certification for safe learning of dynamical systems"
    - "a reduction of imitation learning and structured prediction to no regret online learning"

Connected through hyperedge HE-2 (induced by source paper "a sequential composition framework for coordinating multi robot behaviors"):
  with members:
    - "control barrier functions theory and applications"
    - "resilience by reconfiguration exploiting heterogeneity in robot teams"
    - "hierarchical decomposition of ltl synthesis problem for nonlinear control systems"
    - "hierarchically consistent motion primitives for quadrotor coordination"
    - "composition of safety constraints with applications to decentralized fixed wing collision avoidance"
    - "fault tolerant control for networked mobile robots"
    - "fast and in sync periodic swarm patterns for quadrotors"
    - "survey of important issues in uav communication networks"

Connected through hyperedge HE-3 (induced by source paper "control of mobile robots using barrier functions under temporal logic specifications"):
  with members:
    - "an optimal task allocation strategy for heterogeneous multi robot systems"
    - "prescribed performance control guided policy improvement for satisfying signal temporal logic tasks"
    - "safe certificate based maneuvers for teams of quadrotors using differential flatness"
    - "distributed communication aware motion planning for multi agent systems from stl and spatel specifications"
    - "safety barrier certificates for heterogeneous multi robot systems"
    - "q learning for robust satisfaction of signal temporal logic specifications"
    - "the robotarium a remotely accessible swarm robotics research testbed"
    - "automata theory meets barrier certificates temporal logic verification of nonlinear 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)