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: "a dynamic system characterization of road network node models"
  Abstract: The propagation of traffic congestion along roads is a commonplace nonlinear phenomenon. When many roads are connected in a network, congestion can spill from one road to others as drivers queue to enter a congested road, creating further nonlinearities in the network dynamics. This paper considers the node model problem, which refers to methods for solving for cross-flows when roads meet at a junction. We present a simple hybrid dynamic system that, given a macroscopic snapshot of the roads entering and exiting a node, intuitively models the node's throughflows over time. This dynamic system produces solutions to the node model problem that are equal to those produced by many popular node models without intuitive physical meanings. We also show how the earlier node models can be rederived as executions of our dynamic system. The intuitive physical description supplied by our system provides a base for control of the road junction system dynamics, as well as the emergent network dynamics.

Connected through hyperedge HE-1 (induced by source paper "a dynamic system based approach to modeling driver movements across general purpose managed lane interfaces"):
  with members:
    - "generic second order macroscopic traffic node model for general multi input multi output road junctions via a dynamic system approach"
    - "on node models for high dimensional road networks"

Connected through hyperedge HE-2 (induced by source paper "a benchmark problem in transportation networks"):
  with members:
    - "robust linear temporal logic"

Connected through hyperedge HE-3 (induced by source paper "on node models for high dimensional road networks"):
  with members:
    - "expert level control of ramp metering based on multi task deep reinforcement learning"
    - "generic second order macroscopic traffic node model for general multi input multi output road junctions via a dynamic system approach"
    - "fusing loop and gps probe measurements to estimate freeway density"

Connected through hyperedge HE-4 (induced by source paper "generic second order macroscopic traffic node model for general multi input multi output road junctions via a dynamic system approach"):
  with members:
    - "dissipation of stop and go waves via control of autonomous vehicles field experiments"
    - "on node models for high dimensional road networks"

Connected through hyperedge HE-5 (induced by source paper "macroscopic modeling calibration and simulation of managed lane freeway networks part i topological and phenomenological modeling"):
  with members:
    - "on node models for high dimensional road networks"

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)