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: "dynamic coupling design for nonlinear output agreement and time varying flow control"
  Abstract: This paper studies the problem of output agreement in networks of nonlinear dynamical systems under time-varying disturbances, using dynamic diffusive couplings. Necessary conditions are derived for general networks of nonlinear systems, and these conditions are explicitly interpreted as conditions relating the node dynamics and the network topology. For the class of incrementally passive systems, necessary and sufficient conditions for output agreement are derived. The approach proposed in the paper lends itself to solve flow control problems in distribution networks. As a first case study, the internal model approach is used for designing a controller that achieves an optimal routing and inventory balancing in a dynamic transportation network with storage and time-varying supply and demand. It is in particular shown that the time-varying optimal routing problem can be solved by applying an internal model controller to the dual variables of a certain convex network optimization problem. As a second case study, we show that droop-controllers in microgrids have also an interpretation as internal model controllers.

Connected through hyperedge HE-1 (induced by source paper "optimal regulation of flow networks with transient constraints"):
  with members:
    - "on resilient control of dynamical flow networks"
    - "modeling and control of hvdc transmission systems from theory to practice and back"
    - "a compartmental model for traffic networks and its dynamical behavior"
    - "zero forcing sets and controllability of dynamical systems defined on graphs"
    - "zero forcing number constrained matchings and strong structural controllability"
    - "an internal model approach to optimal frequency regulation in power grids with time varying voltages"

Connected through hyperedge HE-2 (induced by source paper "optimized thermal aware job scheduling and control of data centers"):
  with members:
    - "energy efficient and thermal aware resource management for heterogeneous datacenters"

Connected through hyperedge HE-3 (induced by source paper "adaptation and disturbance rejection for output synchronization of incrementally output feedback passive systems"):
  with members:
    - "an internal model approach to optimal frequency regulation in power grids with time varying voltages"
    - "output synchronization of nonlinear systems under input disturbances"
    - "distributed consensus of linear multi agent systems with adaptive dynamic protocols"

Connected through hyperedge HE-4 (induced by source paper "a novel reduced model for electrical networks with constant power loads"):
  with members:
    - "nonlinear model reduction in power systems by balancing of empirical controllability and observability covariances"
    - "structure preserving model reduction of physical network systems by clustering"

Connected through hyperedge HE-5 (induced by source paper "an internal model approach to optimal frequency regulation in power grids with time varying voltages"):
  with members:
    - "decentralized primary frequency control in power networks"
    - "design and stability of load side primary frequency control in power systems"
    - "internal models for nonlinear output agreement and optimal flow control"

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)