Non-fragile sampled-data control for synchronizing Markov jump Lur'e systems with time-variant delay

Author:

Zuo Dandan1,Wang Wansheng1,Zhang Lulu1,Han Jing2,Chen Ling2

Affiliation:

1. School of Big Data & Artificial Intelligence, Ma'anshan University, Ma'anshan 243100, China

2. School of Electrical and Information Engineering, Wanjiang University of Technology, Ma'anshan 243031, China

Abstract

<p>The issue of non-fragile sampled-data control for synchronizing Markov jump Lur'e systems (MJLSs) with time-variant delay was investigated. The time-variant delay allowed for uncertainty that was constrained to an interval with defined upper and lower boundaries. The components of the nonlinear function within the MJLSs were considered to satisfy either Lipschitz continuity or non-decreasing monotonicity. Numerically tractable conditions that ensured stochastic synchronization with a predefined $ \mathcal{L}_{2}-\mathcal{L}_{\infty} $ disturbance attenuation level for the drive-response MJLSs were established, utilizing time-dependent two-sided loop Lyapunov-Krasovskii functionals, together with integral and matrix inequalities. An exact mathematical expression of the desired controller gains can be obtained based on these conditions. Finally, an example with numerical simulation was employed to demonstrate the effectiveness of the proposed control strategies.</p>

Publisher

American Institute of Mathematical Sciences (AIMS)

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