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: "an efficient model free setting for longitudinal and lateral vehicle control validation through the interconnected pro sivic rtmaps prototyping platform"
  Abstract: In this paper, the problem of tracking desired longitudinal and lateral motions for a vehicle is addressed. Let us point out that a "good" modeling is often quite difficult or even impossible to obtain. It is due for example to parametric uncertainties, for the vehicle mass, inertia or for the interaction forces between the wheels and the road pavement. To overcome this type of difficulties, we consider a model-free control approach leading to "intelligent" controllers. The longitudinal and the lateral motions, on one hand, and the driving/braking torques and the steering wheel angle, on the other hand, are respectively the output and the input variables. An important part of this work is dedicated to present simulation results with actual data. Actual data, used in Matlab as reference trajectories, have been previously recorded with an instrumented Peugeot 406 experimental car. The simulation results show the efficiency of our approach. Some comparisons with a nonlinear flatness-based control in one hand, and with a classical PID control in another hand confirm this analysis. Other virtual data have been generated through the interconnected platform SiVIC/RTMaps, which is a virtual simulation platform for prototyping and validation of advanced driving assistance systems.

Connected through hyperedge HE-1 (induced by source paper "bullwhip effect attenuation in supply chain management via control theoretic tools and short term forecasts a preliminary study with an application to perishable inventories"):
  with members:
    - "la production de nitrites lors de la denitrification des eaux usees par biofiltration strategie de controle et de reduction des concentrations residuelles"
    - "energy saving for building heating via a simple and efficient model free control design first steps with computer simulations"
    - "an overview and comparative analysis of recurrent neural networks for short term load forecasting"
    - "non linear estimation is easy"

Connected through hyperedge HE-2 (induced by source paper "dynamic compensation and homeostasis a feedback control perspective"):
  with members:
    - "energy saving for building heating via a simple and efficient model free control design first steps with computer simulations"
    - "a simple and efficient feedback control strategy for wastewater denitrification"
    - "model based versus model free control designs for improving microalgae growth in a closed photobioreactor some preliminary comparisons"
    - "analyse non standard du bruit"

Connected through hyperedge HE-3 (induced by source paper "energy saving for building heating via a simple and efficient model free control design first steps with computer simulations"):
  with members:
    - "a simple and efficient feedback control strategy for wastewater denitrification"
    - "non linear estimation is easy"

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)