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: "On Finite Gain Stabilizability of Linear Systems Subject to Input Saturation"
  Abstract: This paper deals with (global) finite-gain input/output stabilization of linear systems with saturated controls. For neutrally stable systems, it is shown that the linear feedback law suggested by the passivity approach indeed provides stability, with respect to every L p -norm. Explicit bounds on closed-loop gains are obtained, and they are related to the norms for the respective systems without saturation. These results do not extend to the class of systems for which the state matrix has eigenvalues on the imaginary axis with nonsimple (size &gt; 1) Jordan blocks, contradicting what may be expected from the fact that such systems are globally asymptotically stabilizable in the state-space sense; this is shown in particular for the double integrator.

Connected through hyperedge HE-1 (induced by source paper "New Characterizations of Input to State Stability"):
  with members:
    - "A Smooth Converse Lyapunov Theorem for Robust Stability"
    - "A Characterization of Integral Input to State Stability"
    - "FURTHER FACTS ABOUT INPUT TO STATE STABILIZATION "Further facts about input to state stabilization", IEEE"
    - "Global Stabilization of Linear Discrete-Time Systems with Bounded Feedback"
    - "Changing Supply Functions in Input/State Stable Systems"

Connected through hyperedge HE-2 (induced by source paper "References Linear Controller Design, Limits of Performance, "The parallel projection operators of a nonlinear feedback"):
  with members:
    (none)

Connected through hyperedge HE-3 (induced by source paper "Global Stabilization of Linear Discrete-Time Systems with Bounded Feedback"):
  with members:
    - "New Characterizations of Input to State Stability"
    - "j"
    - "Avoiding Saturation By Trajectory Reparameterization"
    - "STABILIZATION WITH SATURATED ACTUATORS, A WORKED EXAMPLE:F-8 LONGITUDINAL FLIGHT CONTROL"

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