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: "adaptive control of robot manipulators with uncertain kinematics and dynamics"
  Abstract: In this note, we investigate the adaptive control problem for robot manipulators with both the uncertain kinematics and dynamics. We propose two adaptive control schemes to realize the objective of task-space trajectory tracking irrespective of the uncertain kinematics and dynamics. The proposed controllers have the desirable separation property, and we also show that the first adaptive controller with appropriate modifications can yield the improved performance, without the expense of the conservative gain choice. The performance of the proposed controllers is shown by numerical simulations.

Connected through hyperedge HE-1 (induced by source paper "combining parameter identification and trajectory optimization real time planning for information gain"):
  with members:
    - "funnel libraries for real time robust feedback motion planning"
    - "trajectory synthesis for fisher information maximization"

Connected through hyperedge HE-2 (induced by source paper "towards manipulability of interactive lagrangian systems"):
  with members:
    - "task space consensus of networked robotic systems separation and manipulability"

Connected through hyperedge HE-3 (induced by source paper "fully distributed cooperation for networked uncertain mobile manipulators"):
  with members:
    - "robust cooperative manipulation without force torque measurements control design and experiments"

Connected through hyperedge HE-4 (induced by source paper "dynamic modularity approach to adaptive inner outer loop control of robotic systems"):
  with members:
    - "adaptive visual tracking for robotic systems without image space velocity measurement"
    - "adaptive visual tracking for robotic systems without visual velocity measurement"
    - "passivity based adaptive control for visually servoed robotic systems"

Connected through hyperedge HE-5 (induced by source paper "passivity based adaptive control for visually servoed robotic systems"):
  with members:
    - "adaptive visual tracking for robotic systems without image space velocity measurement"
    - "adaptive visual tracking for robotic systems without visual velocity measurement"

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)