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....
Main Authors: | , , , |
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Format: | eBook |
Language: | English |
Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2016, 2016
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Edition: | 1st ed. 2016 |
Series: | Studies in Systems, Decision and Control
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Subjects: | |
Online Access: | |
Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
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.