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Reliable Robust Control for Semi-Markovian Jump Sampled-data Systems Based on a Dissipativity Unified Framework

机译:基于耗散统一框架的半市场跳跃采样数据系统可靠的鲁棒控制

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摘要

This paper is concerned with the reliable robust control for semi-Markovian jump sampled-data systems. A mode-dependent Lyapunov-Krasovskii function (LKF) which fully capture the available characteristics of real sampling period is constructed. Based on the LKF approach, Newton-Leibniz condition and convex combination method, less conservative sufficient conditions are presented, which ensure that the closed-loop systems are robust asymptotically stable and extended-dissipativity. Then, actuator failures are taken into consideration, the desired sampled-data controller can be obtained by solving the linear matrix inequalities (LMIs). Finally, two numerical examples are given to illustrate the effectiveness of the proposed method.
机译:本文涉及半市场跳转采样数据系统的可靠鲁棒控制。 构建了完全捕获实际采样周期的可用特性的模式依赖的Lyapunov-Krasovskii功能(LKF)。 基于LKF方法,牛顿-Leibniz条件和凸组合方法,提出了较少的保守条件,确保闭环系统具有稳健的渐近稳定和延伸耗散性。 然后,考虑致动器故障,通过求解线性矩阵不等式(LMI),可以获得所需的采样数据控制器。 最后,给出了两个数值例子来说明所提出的方法的有效性。

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