human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent groups of papers sharing a common citing paper.

Details of the hypergraph:
Center node: "FEEDBACK STABILIZATION OF NONLINEAR SYSTEMS"
  Abstract: This paper surveys some well-known facts as well as some recent developments on the topic of stabilization of nonlinear systems.

Connected through hyperedge HE-1 (induced by source paper "FEEDBACK STABILIZATION USING TWO-HIDDEN-LAYER NETS"):
  with members:
    - "NEURAL NETS AS SYSTEMS MODELS AND CONTROLLERS suitability of "neural nets" as models for dynamical"
    - "Identification and Control of Nonlinear Systems Using Neural Network Models: Design and Stability Analysis"

Connected through hyperedge HE-2 (induced by source paper ""UNIVERSAL" CONSTRUCTION OF ARTSTEIN'S THEOREM ON NONLINEAR STABILIZATION 1"):
  with members:
    - "Asymptotic Controllability Implies Feedback Stabilization"
    - "GENERAL CLASSES OF CONTROL-LYAPUNOV FUNCTIONS"

Connected through hyperedge HE-3 (induced by source paper "FURTHER FACTS ABOUT INPUT TO STATE STABILIZATION "Further facts about input to state stabilization", IEEE"):
  with members:
    - "A Characterization of Integral Input to State Stability"
    - "New Characterizations of Input to State Stability"

Question: Please tell me which class the center node belongs to. The 7 classes are: Neural_Networks, Reinforcement_Learning, Probabilistic_Methods, Theory, Genetic_Algorithms, Case_Based, Rule_Learning. Directly output the class name.

gpt: Neural_Networks