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: "cooperative look ahead control for fuel efficient and safe heavy duty vehicle platooning"
  Abstract: The operation of groups of heavy-duty vehicles (HDVs) at a small inter-vehicular distance (known as platoon) allows to lower the overall aerodynamic drag and, therefore, to reduce fuel consumption and greenhouse gas emissions. However, due to the large mass and limited engine power of HDVs, slopes have a significant impact on the feasible and optimal speed profiles that each vehicle can and should follow. Therefore maintaining a short inter-vehicular distance as required by platooning without coordination between vehicles can often result in inefficient or even unfeasible trajectories. In this paper we propose a two-layer control architecture for HDV platooning aimed to safely and fuel-efficiently coordinate the vehicles in the platoon. Here, the layers are responsible for the inclusion of preview information on road topography and the real-time control of the vehicles, respectively. Within this architecture, dynamic programming is used to compute the fuel-optimal speed profile for the entire platoon and a distributed model predictive control framework is developed for the real-time control of the vehicles. The effectiveness of the proposed controller is analyzed by means of simulations of several realistic scenarios that suggest a possible fuel saving of up to 12% for the follower vehicles compared to the use of standard platoon controllers.

Connected through hyperedge HE-1 (induced by source paper "resilient coordinated movement of connected autonomous vehicles"):
  with members:
    - "resilient consensus of second order agent networks asynchronous update rules with delays"
    - "iterative approximate byzantine consensus in arbitrary directed graphs"

Connected through hyperedge HE-2 (induced by source paper "control of connected and automated vehicles state of the art and future challenges"):
  with members:
    - "trajectory planning under vehicle dimension constraints using sequential linear programming"
    - "a survey of motion planning and control techniques for self driving urban vehicles"
    - "least costly energy management for series hybrid electric vehicles"
    - "fuel optimal centralized coordination of truck platooning based on shortest paths"
    - "coordinating truck platooning by clustering pairwise fuel optimal plans"
    - "computing feasible vehicle platooning opportunities for transport assignments"

Connected through hyperedge HE-3 (induced by source paper "safe adaptive cruise control with road grade preview and v2v communication"):
  with members:
    - "control of connected and automated vehicles state of the art and future challenges"

Connected through hyperedge HE-4 (induced by source paper "a review on cooperative adaptive cruise control cacc systems architectures controls and applications"):
  with members:
    - "cluster wise cooperative eco approach and departure application for connected and automated vehicles along signalized arterials"

Connected through hyperedge HE-5 (induced by source paper "provably safe cruise control of vehicular platoons"):
  with members:
    - "robust distributed control protocols for large vehicular platoons with prescribed transient and steady state performance"
    - "synthesis of separable controlled invariant sets for modular local control design"
    - "optimal distributed control for platooning via sparse coprime factorizations"

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)