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 "making the grid truly smart autonomous system identification in modemless dc microgrids"):
  Abstract: We introduce novel framework for autonomous learning of the own configuration in direct current (DC) MicroGrids (MG) with high penetration of power electronic converters and without access to an external communication system. The framework is implemented within the decentralized primary droop control loop, enabling the controllers to learn (i) the generation capacities of dispatchable power sources, (ii) the load demands, and (iii) the admittances of the distribution system lines. Its development is founded on the fact that the steady state bus voltages in droop-controlled MG depend on the generation capacities, the load and the admittance matrix of the distribution system, through a non-linear, implicit model that can be estimated via asymptotically efficient Maximum Likelihood Estimation procedure. To define a well-conditioned estimation problem, we employ solution based on the concept of decentralized, coordinated training where the primary droop controllers temporarily switch between operating points, following a protocol that relies on predefined, amplitude-modulated training sequences. The numerical evaluations verify the analysis and confirm the practical potential of the framework.

Includes members:
  Member "transient stability guarantees for ad hoc dc microgrids":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "differentiation and passivity for control of brayton moser systems")
  Member "multiuser communication through power talk in dc microgrids":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "software defined microgrid control for resilience against cyber attacks")
  Member "power talk for multibus dc microgrids creating and optimizing communication channels":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "modemless multiple access communications over powerlines for dc microgrid control")
  Member "modemless multiple access communications over powerlines for dc microgrid control":
    also connected through other hyperedges:
      (none)
  Member "power talk how to modulate data over a dc micro grid bus using power electronics":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "software defined microgrid control for resilience against cyber attacks")
  Member "multi agent distributed optimization via inexact consensus admm":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "distributed dual coordinate ascent in general tree networks and its application in federated learning")
  Member "for the grid and through the grid the role of power line communications in the smart grid":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "the secrecy capacity of gaussian mimo channels with finite memory full version")

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)