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πŸ“

Stability and Synchronization Control of Stochastic Neural Networks

✍ Scribed by Wuneng Zhou, Jun Yang, Liuwei Zhou, Dongbing Tong (auth.)


Publisher
Springer-Verlag Berlin Heidelberg
Year
2016
Tongue
English
Leaves
367
Series
Studies in Systems, Decision and Control 35
Edition
1
Category
Library

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✦ Synopsis


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. The book will be of interest to university researchers, graduate students in control science and engineering and neural networks who wish to learn the core principles, methods, algorithms and applications of SNN.

✦ Table of Contents


Front Matter....Pages i-xvi
Relative Mathematic Foundation....Pages 1-11
Exponential Stability and Synchronization Control of Neural Networks....Pages 13-36
Robust Stability and Synchronization of Neural Networks....Pages 37-91
Adaptive Synchronization of Neural Networks....Pages 93-151
Stability and Synchronization of Neutral-Type Neural Networks....Pages 153-267
Stability and Synchronization of Neural Networks with LΓ©vy Noise....Pages 269-325
Some Applications to Economy Based on Related Research Method....Pages 327-356
Back Matter....Pages 357-357

✦ Subjects


Control; Mathematical Models of Cognitive Processes and Neural Networks; Computational Intelligence


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