具有不可测前提变量的离散时间Takagi-Sugeno模糊系统:在电动汽车上的应用

2021 Fifth International Conference On Intelligent Computing in Data Sciences (ICDS) Pub Date : 2021-10-20 DOI:10.1109/ICDS53782.2021.9626732

Ilham Hmaiddouch, M. Essabre, A. El Assoudi, E. H. El Yaagoubi

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引用次数: 0

摘要

研究了一类具有不可测前提变量的离散Takagi-Sugeno系统的模糊未知输入观测器设计。利用李雅普诺夫理论建立了该观测器设计的收敛条件，并用线性矩阵不等式表示。最后给出了在电动汽车上的应用，验证了所提出的模糊未知输入观测器设计的性能和有效性。

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Discrete-time Takagi-Sugeno Fuzzy Systems with Unmeasurable Premise Variables: Application to an Electric Vehicle

This paper studies fuzzy unknown input observer design for a class of discrete-time Takagi-Sugeno systems with unmeasurable premise variables. The convergence conditions of this observer design are established using Lyapunov theory and expressed in term of linear matrix inequalities. The final part of the paper presents an application to electric vehicle which exhibit the performance and effectiveness of the proposed fuzzy unknown input observer design.

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2021 Fifth International Conference On Intelligent Computing in Data Sciences (ICDS)

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