文章基本信息

标题：Indirect adaptive fuzzy control with a new control input transformation
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作者：Faxiang Zhang ; Yang-Yang Chen
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2022
卷号：55
期号：3
页码：184-189
DOI：10.1016/j.ifacol.2022.05.032
语种：English
出版社：Elsevier
摘要：In this paper, a novel indirect adaptive fuzzy controller is proposed for nonlinear systems with a low-pass filter. Firstly, the system is transformed into a simple form with only two unknown nonlinear functions by the filter. Since the states of converted system are difficult to calculate, a state observer is used to estimate them. Secondly, a new control law is designed based on the adaptive laws for estimating the parameters of the controller and two fuzzy systems for approximating the nonlinear functions of the transformed system. Then, the stability and convergence of the closed-loop system are proved in the Lyapunov sense. Finally, simulation results obtained for a practical example show the feasibility, effectiveness of the designed scheme.
关键词：Nonlinear systemslow-pass filterstate observerfuzzy systemsadaptive laws