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: "robust formation control in se 3 for tree graph structures with prescribed transient and steady state performance"
  Abstract: This paper presents a novel control protocol for distance and orientation formation control of rigid bodies, whose communication graph is a static and undirected tree, in the special Euclidean group SE(3). The proposed control laws are decentralized, in the sense that each agent uses only local relative information from its neighbors to calculate its control signal, as well as robust with respect to modeling (parametric and structural) uncertainties and external disturbances. The proposed methodology guarantees the satisfaction of inter-agent distance constraints that resemble collision avoidance and connectivity maintenance properties. Moreover, certain predefined functions characterize the transient and steady state performance of the closed loop system. Finally, simulation results verify the validity and efficiency of the proposed approach.

Connected through hyperedge HE-1 (induced by source paper "cooperative manipulation via internal force regulation a rigidity theory perspective"):
  with members:
    - "a unified dissertation on bearing rigidity theory"
    - "bearing rigidity theory and its applications for control and estimation of network systems life beyond distance rigidity"
    - "robust cooperative manipulation without force torque measurements control design and experiments"
    - "distributed rotational and translational maneuvering of rigid formations and their applications"
    - "bearing rigidity and almost global bearing only formation stabilization"
    - "distributed stabilization control of rigid formations with prescribed orientation"
    - "decentralized rigidity maintenance control with range measurements for multi robot systems"

Connected through hyperedge HE-2 (induced by source paper "robust cooperative manipulation without force torque measurements control design and experiments"):
  with members:
    - "communication based decentralized cooperative object transportation using nonlinear model predictive control"
    - "a nonlinear model predictive control scheme for cooperative manipulation with singularity and collision avoidance"

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)