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: "controllability of networked mimo systems"
  Abstract: In this paper, we consider the state controllability of networked systems, where the network topology is directed and weighted and the nodes are higher-dimensional linear time-invariant (LTI) dynamical systems. We investigate how the network topology, the node-system dynamics, the external control inputs, and the inner interactions affect the controllability of a networked system, and show that for a general networked multi-input/multi-output (MIMO) system: 1) the controllability of the overall network is an integrated result of the aforementioned relevant factors, which cannot be decoupled into the controllability of individual node-systems and the properties solely determined by the network topology, quite different from the familiar notion of consensus or formation controllability; 2) if the network topology is uncontrollable by external inputs, then the networked system with identical nodes will be uncontrollable, even if it is structurally controllable; 3) with a controllable network topology, controllability and observability of the nodes together are necessary for the controllability of the networked systems under some mild conditions, but nevertheless they are not sufficient. For a networked system with single-input/single-output (SISO) LTI nodes, we present precise necessary and sufficient conditions for the controllability of a general network topology.

Connected through hyperedge HE-1 (induced by source paper "controllability gramian submatrices for a network consensus model"):
  with members:
    - "sign patterns of inverse doubly nonnegative matrices"
    - "energy scaling of targeted optimal control of complex networks"
    - "controllability metrics limitations and algorithms for complex networks"

Connected through hyperedge HE-2 (induced by source paper "topological controllability of undirected networks of diffusively coupled agents"):
  with members:
    - "optimality of fast matching algorithms for random networks with applications to structural controllability"

Connected through hyperedge HE-3 (induced by source paper "modal barriers to controllability in networks with linearly coupled homogeneous subsystems"):
  with members:
    - "consensus of multi agent systems with general linear and lipschitz nonlinear dynamics using distributed adaptive protocols"

Connected through hyperedge HE-4 (induced by source paper "toward stronger robustness of network controllability a snapback network model"):
  with members:
    - "control principles of complex networks"

Connected through hyperedge HE-5 (induced by source paper "the generalized stochastic likelihood decoder random coding and expurgated bounds"):
  with members:
    - "the likelihood encoder for lossy compression"
    - "universal decoding for source channel coding with side information"
    - "list decoding random coding exponents and expurgated exponents"
    - "exact random coding error exponents of optimal bin index decoding"
    - "a technique for deriving one shot achievability results in network information theory"
    - "erasure list exponents for slepian wolf decoding"
    - "relations between random coding exponents and the statistical physics of random codes"

Connected through hyperedge HE-6 (induced by source paper "control principles of complex networks"):
  with members:
    - "the paradox of controlling complex networks control inputs versus energy requirement"
    - "fundamental limitations of network reconstruction"
    - "on the controllability and observability of networked dynamic systems"
    - "controllability metrics limitations and algorithms for complex networks"
    - "a structured systems approach for optimal actuator sensor placement in linear time invariant systems"
    - "distributing the kalman filter for large scale systems"

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)