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 barrier functions theory and applications"
  Abstract: This paper provides an introduction and overview of recent work on control barrier functions and their use to verify and enforce safety properties in the context of (optimization based) safety-critical controllers. We survey the main technical results and discuss applications to several domains including robotic systems.

Connected through hyperedge HE-1 (induced by source paper "safety considerations in deep control policies with safety barrier certificates under uncertainty"):
  with members:
    - "safe reinforcement learning with scene decomposition for navigating complex urban environments"
    - "barrier certified adaptive reinforcement learning with applications to brushbot navigation"
    - "algorithms for verifying deep neural networks"
    - "an efficient reachability based framework for provably safe autonomous navigation in unknown environments"
    - "temporal logic guided safe reinforcement learning using control barrier functions"
    - "worst cases policy gradients"
    - "end to end safe reinforcement learning through barrier functions for safety critical continuous control tasks"
    - "sampling based motion planning via control barrier functions"

Connected through hyperedge HE-2 (induced by source paper "undefined behavior guarantee by switching to model based controller according to the embedded dynamics in recurrent neural network"):
  with members:
    - "online self supervised learning for object picking detecting optimum grasping position using a metric learning approach"
    - "grasp2vec learning object representations from self supervised grasping"
    - "residual reinforcement learning for robot control"
    - "variational discriminator bottleneck improving imitation learning inverse rl and gans by constraining information flow"
    - "motion switching with sensory and instruction signals by designing dynamical systems using deep neural network"
    - "machine teaching a new paradigm for building machine learning systems"
    - "learning hand eye coordination for robotic grasping with deep learning and large scale data collection"
    - "generative adversarial imitation learning"

Connected through hyperedge HE-3 (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"
    - "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"
    - "control of multi agent systems with finite time control barrier certificates and temporal logic"
    - "a reduction of imitation learning and structured prediction to no regret online learning"

Connected through hyperedge HE-4 (induced by source paper "adaptive task allocation for heterogeneous multi robot teams with evolving and unknown robot capabilities"):
  with members:
    - "an optimal task allocation strategy for heterogeneous multi robot systems"
    - "self adaptive decision making mechanisms to balance the execution of multiple tasks for a multi robots team"
    - "constraint driven coordinated control of multi robot systems"
    - "the robotarium a remotely accessible swarm robotics research testbed"
    - "analysis of dynamic task allocation in multi robot systems"

Connected through hyperedge HE-5 (induced by source paper "a set theoretic approach to multi task execution and prioritization"):
  with members:
    - "persistification of robotic tasks"
    - "an optimal task allocation strategy for heterogeneous multi robot systems"
    - "safety related tasks within the set based task priority inverse kinematics framework"
    - "constraint driven coordinated control of multi robot systems"
    - "multi objective compositions for collision free connectivity maintenance in teams of mobile robots"

Connected through hyperedge HE-6 (induced by source paper "towards variable assistance for lower body exoskeletons"):
  with members:
    - "feedback control of an exoskeleton for paraplegics toward robustly stable hands free dynamic walking"

Connected through hyperedge HE-7 (induced by source paper "probabilistic safety constraints for learned high relative degree system dynamics"):
  with members:
    - "robust regression for safe exploration in control"
    - "episodic learning with control lyapunov functions for uncertain robotic systems"
    - "self triggered control for safety critical systems using control barrier functions"
    - "end to end safe reinforcement learning through barrier functions for safety critical continuous control tasks"
    - "finite time system identification for partially observed lti systems of unknown order"
    - "meta learning priors for efficient online bayesian regression"
    - "safe learning of quadrotor dynamics using barrier certificates"
    - "least squares temporal difference learning for the linear quadratic regulator"

Connected through hyperedge HE-8 (induced by source paper "a sequential composition framework for coordinating multi robot behaviors"):
  with members:
    - "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"
    - "control of multi agent systems with finite time control barrier certificates and temporal logic"
    - "survey of important issues in uav communication networks"

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)