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: "the control toolbox an open source c library for robotics optimal and model predictive control"
  Abstract: We introduce the Control Toolbox (CT), an open-source C++ library for efficient modeling, control, estimation, trajectory optimization and Model Predictive Control. The CT is applicable to a broad class of dynamic systems but features interfaces to modeling tools specifically designed for robotic applications. This paper outlines the general concept of the toolbox, its main building blocks, and highlights selected application examples. The library contains several tools to design and evaluate controllers, model dynamical systems and solve optimal control problems. The CT was designed for intuitive modeling of systems governed by ordinary differential or difference equations. It supports rapid prototyping of cost functions and constraints and provides standard interfaces for different optimal control solvers. To date, we support Single Shooting, the iterative Linear-Quadratic Regulator, Gauss-Newton Multiple Shooting and classical Direct Multiple Shooting. We provide interfaces to general purpose NLP solvers and Riccati-based linear-quadratic optimal control solvers. The CT was designed to solve large-scale optimal control and estimation problems efficiently and allows for online control of dynamic systems. Some of the key features to enable fast run-time performance are full compatibility with Automatic Differentiation, derivative code generation, and multi-threading. Still, the CT is designed as a modular framework whose building blocks can also be used for other control and estimation applications such as inverse dynamics control, extended Kalman filters or kinematic planning. The CT is available as open-source software under the Apache v2 license and can be retrieved from https://bitbucket.org/adrlab/ct.

Connected through hyperedge HE-1 (induced by source paper "nonlinear mpc with motor failure identification and recovery for safe and aggressive multicopter flight"):
  with members:
    - "a family of iterative gauss newton shooting methods for nonlinear optimal control"
    - "linear vs nonlinear mpc for trajectory tracking applied to rotary wing micro aerial vehicles"

Connected through hyperedge HE-2 (induced by source paper "whole body nonlinear model predictive control through contacts for quadrupeds"):
  with members:
    - "a family of iterative gauss newton shooting methods for nonlinear optimal control"
    - "an efficient optimal planning and control framework for quadrupedal locomotion"
    - "automatic differentiation of rigid body dynamics for optimal control and estimation"
    - "trajectory optimization through contacts and automatic gait discovery for quadrupeds"
    - "hierarchical planning of dynamic movements without scheduled contact sequences"
    - "projection based whole body motion planning for legged robots"
    - "planning and execution of dynamic whole body locomotion for a hydraulic quadruped on challenging terrain"
    - "trajectory generation for multi contact momentum control"

Connected through hyperedge HE-3 (induced by source paper "matmpc a matlab based toolbox for real time nonlinear model predictive control"):
  with members:
    - "an adaptive partial sensitivity updating scheme for fast nonlinear model predictive control"

Connected through hyperedge HE-4 (induced by source paper "a family of iterative gauss newton shooting methods for nonlinear optimal control"):
  with members:
    - "whole body nonlinear model predictive control through contacts for quadrupeds"
    - "efficient kinematic planning for mobile manipulators with non holonomic constraints using optimal control"
    - "an efficient optimal planning and control framework for quadrupedal locomotion"
    - "automatic differentiation of rigid body dynamics for optimal control and estimation"
    - "trajectory optimization through contacts and automatic gait discovery for quadrupeds"
    - "risk sensitive nonlinear optimal control with measurement uncertainty"

Connected through hyperedge HE-5 (induced by source paper "a projection approach to equality constrained iterative linear quadratic optimal control"):
  with members:
    - "real time motion planning of legged robots a model predictive control approach"
    - "efficient kinematic planning for mobile manipulators with non holonomic constraints using optimal control"
    - "an efficient optimal planning and control framework for quadrupedal locomotion"
    - "trajectory optimization through contacts and automatic gait discovery for quadrupeds"

Connected through hyperedge HE-6 (induced by source paper "automatic differentiation of rigid body dynamics for optimal control and estimation"):
  with members:
    - "efficient kinematic planning for mobile manipulators with non holonomic constraints using optimal control"
    - "trajectory optimization through contacts and automatic gait discovery for quadrupeds"
    - "the stan math library reverse mode automatic differentiation in c"

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.RO(Robotics)