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: "error correcting codes for distributed control"
  Abstract: The problem of stabilizing an unstable plant over a noisy communication link is an increasingly important one that arises in applications of networked control systems. Although the work of Schulman and Sahai over the past two#R##N#decades, and their development of the notions of "tree codes" and "anytime capacity", provides the theoretical framework for studying such problems, there has been scant practical progress in this area because explicit#R##N#constructions of tree codes with efficient encoding and decoding did not exist. To stabilize an unstable plant driven by bounded noise over a noisy channel one#R##N#needs real-time encoding and real-time decoding and a reliability which increases exponentially with decoding delay, which is what tree codes#R##N#guarantee. We prove that linear tree codes occur with high probability and, for erasure channels, give an explicit construction with an expected decoding#R##N#complexity that is constant per time instant. We give novel sufficient conditions on the rate and reliability required of the tree codes to stabilize vector plants and argue that they are asymptotically tight. This work takes an#R##N#important step towards controlling plants over noisy channels, and we demonstrate the efficacy of the method through several examples.

Connected through hyperedge HE-1 (induced by source paper "multi rate control over awgn channels via analog joint source channel coding"):
  with members:
    - "almost practical tree codes"
    - "rate cost tradeoffs in control"
    - "the gaussian channel with noisy feedback near capacity performance via simple interaction"
    - "on zero delay source channel coding"
    - "analog matching of colored sources to colored channels"
    - "joint wyner ziv dirty paper coding by modulo lattice modulation"

Connected through hyperedge HE-2 (induced by source paper "robust causal transform coding for lqg systems with delay loss in communications"):
  with members:
    - "potent tree codes and their applications coding for interactive communication revisited"

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.IT(Information Theory)