Delay-dependent stability analysis and controller synthesis for Markovian jump systems with state and input delays

Delay-dependent stability analysis and controller synthesis for Markovian jump systems with state and input delays
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具有状态和输入延迟的马尔可夫跳跃系统的延迟相关稳定性分析和控制器综合

DOI:
10.1016/j.ins.2009.04.006
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发表时间:
2009-07
影响因子:
8.1
通讯作者:
Shi, Peng
Shi, Peng
中科院分区:
计算机科学1区
文献类型:
--
作者:
Chen, Bing;Li, Hongyi;Lin, Chong;Zhou, Qi;Shi, Peng

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本文重点研究具有状态和输入延迟的马尔可夫跳跃系统的延迟相关鲁棒随机稳定性分析和控制器综合问题。假设延迟是恒定且未知的,但它们的上限是已知的。通过构造新的Lyapunov-Krasovskii泛函并引入一些适当的松弛矩阵,利用线性矩阵不等式(LMI)提出了新的时滞相关随机稳定性和稳定条件。这里提出的结果的一个重要特征是所有鲁棒稳定性和稳定性条件都取决于延迟的上限。无记忆状态反馈控制器的设计使得闭环系统具有鲁棒随机稳定。提供了一些数值例子来说明该方法的有效性。
This paper focuses on the problem of delay-dependent robust stochastic stability analysis and controller synthesis for Markovian jump systems with state and input delays. It is assumed that the delays are constant and unknown, but their upper bounds are known. By constructing a new Lyapunov–Krasovskii functional and introducing some appropriate slack matrices, new delay-dependent stochastic stability and stabilization conditions are proposed by means of linear matrix inequalities (LMIs). An important feature of the results proposed here is that all the robust stability and stabilization conditions are dependent on the upper bound of the delays. Memoryless state feedback controllers are designed such that the closed-loop system is robustly stochastically stable. Some numerical examples are provided to illustrate the effectiveness of the proposed method.
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