This work focuses on addressing the issue of sampled-data synchronization for nonlinear chaotic systems with uncertainties by fault-tolerant control techniques, where a semi-Markov jump chain is utilized to describe the switching characteristic. The random occurring uncertainties in chaotic systems are subject to the Bernoulli distributed white noise sequences therein. For such a synchronization control problem, the sampled-data control strategy, capable of alleviating the bandwidth pressure is applied, in which the random time-varying delays are adequately cogitated. Then, by establishing a proper Lyapunov–Krasovskii functional, some constrained criteria are obtained via the rational use of integral inequality technique. The validity and effectiveness of the developed methods are, at last, substantiated by a numerical example.
Fault-Tolerant Sampled-Data Synchronization of Chaotic Systems with Random Occurring Uncertainties: A Semi-Markov Jump Model Approach
Studies in Systems, Decision and Control
Recent Advances in Control Problems of Dynamical Systems and Networks ; Chapter : 4 ; 83-102
2020-08-11
20 pages
Article/Chapter (Book)
Electronic Resource
English
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