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Stabilization for Positive Markovian Jump Systems with Actuator Saturation

机译:具有执行器饱和的正马尔科夫跳跃系统的镇定

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摘要

This paper considers stabilization for positive Markovian jump systems in the presence of actuator saturation. Firstly, we use a Lyapunov function approach and convex analysis to derive sufficient conditions for stochastic stability and positivity of the continuous- and discrete-time cases. Then, the state feedback controller design and the estimate of the domain of attraction are presented by solving a convex optimization problem with linear matrix inequalities. Finally, numerical examples are given to demonstrate the validity of the main results.
机译:本文考虑在执行器饱和的情况下正Markovian跳跃系统的镇定。首先,我们使用Lyapunov函数方法和凸分析来得出连续时间和离散时间情况的随机稳定性和正性的充分条件。然后,通过求解线性矩阵不等式的凸优化问题,给出了状态反馈控制器的设计和吸引域的估计。最后,通过数值例子说明了主要结果的有效性。

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