Stability and Synchronization Control of Stochastic Neural Networks
β 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
No coin nor oath required. For personal study only.
β¦ 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.
β¦ 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
β¦ Subjects
Control; Mathematical Models of Cognitive Processes and Neural Networks; Computational Intelligence
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From Contents: Introduction - Markov Processes, Ito Processes, Poisson Differential Equations; Stochastic Stability - Definitions, Liapunov function, Theorems, Continuous Parameter; Finite Time Stability and First Exit Times; Optimal Stochastic Control - Dynamic programming algorithm, Theorems, Exam
From Contents: Introduction - Markov Processes, Ito Processes, Poisson Differential Equations; Stochastic Stability - Definitions, Liapunov function, Theorems, Continuous Parameter; Finite Time Stability and First Exit Times; Optimal Stochastic Control - Dynamic programming algorithm, Theorems, Exam