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 "a family of iterative gauss newton shooting methods for nonlinear optimal control"):
  Abstract: This paper introduces a family of iterative algorithms for unconstrained nonlinear optimal control. We generalize the well-known iLQR algorithm to different multiple-shooting variants, combining advantages like straight-forward initialization and a closed-loop forward integration. All algorithms have similar computational complexity, i.e. linear complexity in the time horizon, and can be derived in the same computational framework. We compare the full-step variants of our algorithms and present several simulation examples, including a high-dimensional underactuated robot subject to contact switches. Simulation results show that our multiple-shooting algorithms can achieve faster convergence, better local contraction rates and much shorter runtimes than classical iLQR, which makes them a superior choice for nonlinear model predictive control applications.

Includes members:
  Member "the control toolbox an open source c library for robotics optimal and model predictive control":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "nonlinear mpc with motor failure identification and recovery for safe and aggressive multicopter flight")
  Member "whole body nonlinear model predictive control through contacts for quadrupeds":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "guided constrained policy optimization for dynamic quadrupedal robot locomotion")
  Member "efficient kinematic planning for mobile manipulators with non holonomic constraints using optimal control":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "modeling and control of a hybrid wheeled jumping robot")
  Member "an efficient optimal planning and control framework for quadrupedal locomotion":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "mpc net a first principles guided policy search")
  Member "automatic differentiation of rigid body dynamics for optimal control and estimation":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "automatic differentiation and continuous sensitivity analysis of rigid body dynamics")
  Member "trajectory optimization through contacts and automatic gait discovery for quadrupeds":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "learning how to walk warm starting optimal control solver with memory of motion")
  Member "risk sensitive nonlinear optimal control with measurement uncertainty":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "curious ilqr resolving uncertainty in model based rl")

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.SY(Systems and Control)