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: "on the design of a novel finite time nonlinear extended state observer for class of nonlinear systems with mismatch disturbances and uncertainties"
  Abstract: In this paper, a novel finite-time Nonlinear Extended State Observer (NLESO) is proposed and employed in Active Disturbance rejection Control (ADRC) to stabilize a nonlinear system against system's uncertainties and discontinuous disturbances using output feedback technique. The first task was to aggregate the uncertainties, disturbances, and any other undesired nonlinearities in the system into a single term called the "generalized disturbance". Consequently, the ESO estimates the generalized disturbance and cancel it from the input channel in an online fashion. Moreover, in some nonlinear systems, the disturbances might not enter through the same channel of the control signal, thus leading to mismatched uncertainties and/or disturbances. Accordingly, a new procedure is proposed in this paper to transform the mismatched disturbance and uncertainties into the same input channel and converting the nonlinear uncertain system into a chain of integrals up to the relative degree of the system with the total disturbance relocated into the control input channel. Peaking phenomenon that existed in Linear ESO (LESO) has been reduced significantly by adopting a saturation-like nonlinear function in the proposed Nonlinear ESO (NLESO). Stability analysis of the NLEO is studied using finite-time Lyapunov principles and the comparisons are given through simulations on Permanent Magnet DC (PMDC) motor to show the effectiveness of the proposed observer with respect to LESO.

Connected through hyperedge HE-1 (induced by source paper "path planning of an autonomous mobile robot in a dynamic environment using modified bat swarm optimization"):
  with members:
    - "on the design of nonlinear pid controller for nonlinear quadrotor system"
    - "multi objective path planning of an autonomous mobile robot in static and dynamic environments using a hybrid pso mfb optimisation algorithm"

Connected through hyperedge HE-2 (induced by source paper "nonlinear pid controller design for a 6 dof uav quadrotor system"):
  with members:
    - "a review of control algorithms for autonomous quadrotors"

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)