Stability and Synchronization Control of Stochastic Neural Networks

This book reports on the latest findings in the study of Stochastic Neural Networks (SNN). The book collects the novel model of the disturbance driven by Levy process, the research method of M-matrix, and the adaptive control method of the SNN in the context of stability and synchronization control....

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Bibliographic Details
Main Authors: Zhou, Wuneng (Author), Yang, Jun (Author), Zhou, Liuwei (Author), Tong, Dongbing (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : 2016.
Imprint: Springer,
Edition:1st ed. 2016.
Series:Studies in Systems, Decision and Control, 35
Subjects:
Control engineering.
Neural networks (Computer science) .
Computational intelligence.
Control and Systems Theory.
Mathematical Models of Cognitive Processes and Neural Networks.
Computational Intelligence.
Online Access:Full-text access
Table of Contents:
  • Relative Mathematic Foundation
  • Asymptotical and Exponential Stability and Synchronization for NN
  • Robust Stability and Synchronization for NN
  • Adaptive Stability and Synchronization for NN
  • Stability and Synchronization for Neutral-type NN
  • Stability and Synchronization for NN with Levy Noise
  • Some Applications to Finance Based-on NN.

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