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首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >Dynamic Output-Feedback Passivity Control for Fuzzy Systems under Variable Sampling
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Dynamic Output-Feedback Passivity Control for Fuzzy Systems under Variable Sampling

机译:可变采样下模糊系统的动态输出反馈无源控制

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摘要

This paper concerns the problem of dynamic output-feedback control for a class of nonlinearsystems with nonuniform uncertain sampling via Takagi-Sugeno (T-S) fuzzy control approach. Thesampling is not required to be periodic, and the state variables are not required to be measurable. A new type fuzzy dynamic output-feedback sampled-data controller is constructed, and a novel time-dependentLyapunov-Krasovskii functional is chosen for fuzzy systems under variable sampling. Byusing Lyapunov stability theory, a sufficient condition for very-strict passive analysis of fuzzy systemswith nonuniform uncertain sampling is derived. Based on this condition, a novel fuzzy dynamic output-feedbackcontroller is designed such that the closed-loop system is very-strictly passive. The existencecondition of the controller can be solved by convex optimization approach. Finally, a numerical exampleis provided to demonstrate the effectiveness of the proposed method.
机译:本文通过Takagi-Sugeno(T-S)模糊控制方法,对一类具有非均匀不确定采样的非线性系统进行动态输出反馈控制的问题。采样不需要是周期性的,状态变量也不需要是可测量的。构建了一种新型的模糊动态输出反馈采样数据控制器,并针对变量采样下的模糊系统选择了一种新型的时间相关的Lyapunov-Krasovskii泛函。利用李雅普诺夫稳定性理论,推导了具有不确定样本的模糊系统非常严格的被动分析的充分条件。基于此条件,设计了一种新颖的模糊动态输出反馈控制器,使得闭环系统具有非常严格的被动性。控制器的存在条件可以通过凸优化方法解决。最后,通过算例说明了所提方法的有效性。

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