human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "robust trajectory tracking control for underactuated autonomous underwater vehicles"):
  Abstract: Motion control of underwater robotic vehicles is a demanding task with great challenges imposed by external disturbances, model uncertainties and constraints of the operating workspace. Thus, robust motion control is still an open issue for the underwater robotics community. In that sense, this paper addresses the tracking control problem or 3D trajectories for underactuated underwater robotic vehicles operating in a constrained workspace including obstacles. In particular, a robust Nonlinear Model Predictive Control (NMPC) scheme is presented for the case of underactuated Autonomous Underwater Vehicles (AUVs) (i.e., vehicles actuated only in surge, heave and yaw). The purpose of the controller is to steer the underactuated AUV to a desired trajectory with guaranteed input and state constraints within a partially known and dynamic environment where the knowledge of the operating workspace is constantly updated on-line via the vehicle's on-board sensors. In particular, by considering a ball that covers the volume of the system, obstacle avoidance with any of the detected obstacles is guaranteed, despite the model dynamic uncertainties and the presence of external disturbances representing ocean currents and waves. The proposed feedback control law consists of two parts: an online law which is the result of a Finite Horizon Optimal Control Problem (FHOCP) solved for the nominal dynamics; and a state feedback law which is tuned off-line and guarantees that the real trajectories remain bound in a hyper-tube centered along the nominal trajectories for all times. Finally, a simulation study verifies the performance and efficiency of the proposed approach.

Includes members:
  Member "decentralized impedance control for cooperative manipulation of multiple underwater vehicle manipulator systems under lean communication":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "results from the robocademy itn autonomy disturbance rejection and perception for advanced marine robotics")
  Member "a distributed predictive control approach for cooperative manipulation of multiple underwater vehicle manipulator systems":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "results from the robocademy itn autonomy disturbance rejection and perception for advanced marine robotics")
  Member "design and experimental validation of tube based mpc for timed constrained robot planning":
    also connected through other hyperedges:
      (none)
  Member "robust tube based model predictive control for time constrained robot navigation":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "design and experimental validation of tube based mpc for timed constrained robot planning")
  Member "control synthesis for multi agent systems under metric interval temporal logic specifications":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "design and experimental validation of tube based mpc for timed constrained robot planning")
  Member "a robust model predictive control approach for autonomous underwater vehicles operating in a constrained workspace":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "results from the robocademy itn autonomy disturbance rejection and perception for advanced marine robotics")
  Member "probabilistic plan synthesis for coupled multi agent systems":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "design and experimental validation of tube based mpc for timed constrained robot planning")
  Member "on the timed temporal logic planning of coupled multi agent systems":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "design and experimental validation of tube based mpc for timed constrained robot planning")

Question: Please tell me which class the source paper 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.RO(Robotics)