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Stability and Synchronization Control of Stochastic Neural Networks

Wuneng Zhou; Jun Yang; Liuwei Zhou; Dongbing Tong

978-3-662-47833-2

2016
Edition 1
- Introduces for the first time the stochastic disturbance driven by Levy process in modeling stochastic neural networks
- Applies the M-matrix method to analyze and synthesize the synchronization criteria for stochastic neural networks
- Extends the existing results of the adaptive synchronization criteria of stochastic neural networks by getting the exponential stability (in the pth moment) conditions of the general stochastic delay deferential equation and the general neutral-type stochastic delay deferential equation, respectively
- Includes supplementary material: sn.pub/extras
€180 €162
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