Non-fragile sampled-data robust synchronization of uncertain delayed chaotic Lurie systems with randomly occurring controller gain fluctuation

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• 作者：Kaibo Shi<sup>asup><sup> ; sup><sup>bsup><sup> ; sup><sup>skbs111@163.comsup> ; Yuanyan Tang<sup>bsup> ; Xinzhi Liu<sup>csup> ; Shouming Zhong<sup>dsup>
• 关键词：Chaotic Lurie system ; Neural networks ; Robust synchronization ; Non-fragile sampled-data control ; Randomly occurring controller gain fluctuation
• 刊名：ISA Transactions
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：66
• 期：Complete
• 页码：185-199
• 全文大小：3121 K
• 卷排序：66

文摘

Less conservative robust sampled-data synchronization conditions are obtained by developing a new non-fragile stochastic control method. By introducing two new alterable parameters and making full use of the available information about the actual sampling pattern, a novelly augmented Lyapunov-Krasovskii functional is constructed. Based on the most powerful free-matrix-based integral inequality, a desired non-fragile sampled-data estimator controller can be achieved. Numerical simulation examples of Chua's circuit and neural network are presented to demonstrate the e?ectiveness and advantages of the developed results.