human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge groups papers that share a common citing paper.

Details of the hypergraph:
Center hyperedge (induced by source paper "Global Stabilization of Linear Discrete-Time Systems with Bounded Feedback"):
  Abstract: This paper deals with the problem of global stabilization of linear discrete time systems by means of bounded feedback laws. The main result proved is an analog of one proved for the continuous time case by the authors, and shows that such stabilization is possible if and only if the system is stabilizable with arbitrary controls and the transition matrix has spectral radius less or equal to one. The proof provides in principle an algorithm for the construction of such feedback laws, which can be implemented either as cascades or as parallel connections ("single hidden layer neural networks") of simple saturation functions.

Includes members:
  Member "New Characterizations of Input to State Stability":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "A Smooth Converse Lyapunov Theorem for Robust Stability")
  Member "j":
    also connected through other hyperedges:
      (none)
  Member "On Finite Gain Stabilizability of Linear Systems Subject to Input Saturation":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "New Characterizations of Input to State Stability")
  Member "Avoiding Saturation By Trajectory Reparameterization":
    also connected through other hyperedges:
      (none)
  Member "STABILIZATION WITH SATURATED ACTUATORS, A WORKED EXAMPLE:F-8 LONGITUDINAL FLIGHT CONTROL":
    also connected through other hyperedges:
      (none)

Question: Please tell me which class the citing paper (i.e., the source paper of the center hyperedge) 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