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基于T-S模糊系统的采样状态观测器反馈控制设计

LMI Based Data-Sampled Observer Design for T-S Fuzzy Systems
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摘要 针对T-S模糊系统中状态部分未知或者全部未知而导致系统难以进行控制的现状,本文讨论了基于样本值观测器反馈镇定问题。首先给出非线性系统采样数据观测器和反馈控制器设计方法,在采样值为一有界值,且考虑输入时滞存在的前提下,利用李雅普诺夫泛函方法,结合线性矩阵不等式技术得到相应矩阵不等式的方法,并通过仿真算例进行验证,仿真结果表明,该观测器能在短时间内达到稳定。 It is sometimes not easy to know the whole states but only part of them for a T - S fuzzy system, and this makes it difficult to control the whole system. This paper mainly discusses the nonlinear data sampled observer design under the condition that the input is delayed and it is a constant sampling. The method we use is based on the Lyapunov functionals. Some sufficient conditions for the existence of the observer are established based on the solvability of a set of LMIs Finally,an example is used to illustrate the effectiveness and feasibility of our approaches.
出处 《青岛大学学报(工程技术版)》 CAS 2013年第1期1-8,共8页 Journal of Qingdao University(Engineering & Technology Edition)
基金 国家自然科学基金项目资助(61074008 61174033)
关键词 非线性 线性矩阵不等式(LMI) 输入时滞 采样数据 观测器 nonlinear LMI input delay data-sampled observer
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参考文献21

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