Chaos synchronization of stochastic reaction-diffusion time-delay neural networks via non-fragile output-feedback control
This paper addresses the issue of non-fragile output-feedback control for master-slave chaos synchronization of reaction-diffusion time-delay neural networks subject to stochastic disturbances. Two types of norm-bounded multiplicative gain perturbations are taken into account. By the Lyapunov functi...
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Published in | Applied mathematics and computation Vol. 354; pp. 115 - 127 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Inc
01.08.2019
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Subjects | |
Online Access | Get full text |
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Summary: | This paper addresses the issue of non-fragile output-feedback control for master-slave chaos synchronization of reaction-diffusion time-delay neural networks subject to stochastic disturbances. Two types of norm-bounded multiplicative gain perturbations are taken into account. By the Lyapunov functional method and stochastic stability theory, a delay-independent criterion for the mean-square asymptotic synchronization of the master network and the unforced salve network is derived. It is shown that the criterion is a necessary condition of a recent delay-dependent criterion. On the basis of the proposed analysis result and with the help of some decoupling techniques, constructive approaches for the design of non-fragile output-feedback controller are developed. Finally, two examples are employed to demonstrate the applicability and low conservatism of the present analysis and design approaches. |
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ISSN: | 0096-3003 1873-5649 |
DOI: | 10.1016/j.amc.2019.02.028 |