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 "bullwhip effect attenuation in supply chain management via control theoretic tools and short term forecasts a preliminary study with an application to perishable inventories"):
  Abstract: Supply chain management and inventory control provide most exciting examples of control systems with delays. Here, Smith predictors, model-free control and new time series forecasting techniques are mixed in order to derive an efficient control synthesis. Perishable inventories are also taken into account. The most intriguing "bullwhip effect" is explained and attenuated, at least in some important situations. Numerous convincing computer simulations are presented and discussed.

Includes members:
  Member "la production de nitrites lors de la denitrification des eaux usees par biofiltration strategie de controle et de reduction des concentrations residuelles":
    also connected through other hyperedges:
      (none)
  Member "energy saving for building heating via a simple and efficient model free control design first steps with computer simulations":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a simple but energy efficient hvac control synthesis for data centers")
  Member "an efficient model free setting for longitudinal and lateral vehicle control validation through the interconnected pro sivic rtmaps prototyping platform":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "dynamic compensation and homeostasis a feedback control perspective")
  Member "an overview and comparative analysis of recurrent neural networks for short term load forecasting":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "forecasting industrial aging processes with machine learning methods")
  Member "non linear estimation is easy":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "easily implementable time series forecasting techniques for resource provisioning in cloud computing")

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)