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: "fault tolerant control for networked mobile robots"
  Abstract: Teams of networked autonomous agents have been used in a number of applications, such as mobile sensor networks and intelligent transportation systems. However, in such systems, the effect of faults and errors in one or more of the sub-systems can easily spread throughout the network, quickly degrading the performance of the entire system. In consensus-driven dynamics, the effects of faults are particularly relevant because of the presence of unconstrained rigid modes in the transfer function of the system. Here, we propose a two-stage technique for the identification and accommodation of a biased-measurements agent, in a network of mobile robots with time invariant interaction topology. We assume these interactions to take place only in the form of relative position measurements. A fault identification filter deployed on a single observer agent is used to estimate a single fault occurring anywhere in the network. Once the fault is detected, an optimal leader-based accommodation strategy is initiated. Results are presented by means of numerical simulations and robot experiments.

Connected through hyperedge HE-1 (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"
    - "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"

Connected through hyperedge HE-2 (induced by source paper "inferring and learning multi robot policies by observing an expert"):
  with members:
    - "multi robot deep reinforcement learning with macro actions"
    - "a reinforcement learning framework for sequencing multi robot behaviors"
    - "resilience by reconfiguration exploiting heterogeneity in robot teams"
    - "a sequential composition framework for coordinating multi robot behaviors"
    - "multi agent imitation learning for driving simulation"
    - "imitation from observation learning to imitate behaviors from raw video via context translation"
    - "time contrastive networks self supervised learning from video"
    - "the robotarium a remotely accessible swarm robotics research testbed"

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)