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: "mixed monotonicity of partial first in first out traffic flow models"
  Abstract: In vehicle traffic networks, congestion on one outgoing link of a diverging junction often impedes flow to other outgoing links, a phenomenon known as the first-in-first-out (FIFO) property. Simplified traffic models that do not account for the FIFO property result in monotone dynamics for which powerful analysis techniques exist. FIFO models are in general not monotone, but have been shown to be mixed monotone - a generalization of monotonicity that enables similarly powerful analysis techniques. In this paper, we study traffic flow models for which the FIFO property is only partial, that is, flows at diverging junctions exhibit a combination of FIFO and non-FIFO phenomena. We show that mixed monotonicity extends to this wider class of models and establish conditions that guarantee convergence to an equilibrium.

Connected through hyperedge HE-1 (induced by source paper "tira toolbox for interval reachability analysis"):
  with members:
    - "hierarchical decomposition of ltl synthesis problem for nonlinear control systems"
    - "a benchmark problem in transportation networks"
    - "sampled data reachability analysis using sensitivity and mixed monotonicity"
    - "simulation based reachability analysis for nonlinear systems using componentwise contraction properties"
    - "sapo reachability computation and parameter synthesis of polynomial dynamical systems"

Connected through hyperedge HE-2 (induced by source paper "on resilient control of dynamical flow networks"):
  with members:
    - "separability of lyapunov functions for contractive monotone systems"
    - "robust network routing under cascading failures"
    - "a compartmental model for traffic networks and its dynamical behavior"
    - "design of multi path data routing algorithm based on network reliability"

Connected through hyperedge HE-3 (induced by source paper "safety control of monotone systems with bounded uncertainties"):
  with members:
    - "a provably correct mpc approach to safety control of urban traffic networks"
    - "traffic network control from temporal logic specifications"

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)