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Stochastic stability and robust control for sampled-data systems with Markovian jump parameters

机译:具有马尔可夫跳跃参数的采样数据系统的随机稳定性和鲁棒控制

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摘要

In this paper, the problems of stochastic stability and robust control for a class of uncertain sampled-data systems are studied. The systems consist of random jumping parameters described by finite-state semi-Markov process. Sufficient conditions for stochastic stability or exponential mean square stability of the systems are presented. The conditions for the existence of a sampled-data feedback control and a multirate sampled-data optimal control for the continuous-time uncertain Markovian jump systems are also obtained. The design procedure for robust multirate sampled-data control is formulated as linear matrix inequalities (LMIs), which can be solved efficiently by available software toolboxes. Finally, a numerical example is given to demonstrate the feasibility and effectiveness of the proposed techniques.\ud\ud
机译:本文研究了一类不确定采样数据系统的随机稳定性和鲁棒控制问题。该系统由有限状态半马尔可夫过程描述的随机跳跃参数组成。给出了系统的随机稳定性或指数均方稳定性的充分条件。还获得了存在条件的连续时间不确定马尔可夫跳跃系统的采样数据反馈控制和多速率采样数据最优控制的条件。鲁棒的多速率采样数据控制的设计过程用线性矩阵不等式(LMI)表示,可以通过可用的软件工具箱有效地解决。最后,通过数值例子说明了所提技术的可行性和有效性。

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