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武力兵《Adaptive fuzzy asymptotic tracking control of uncertain nonaffine nonlinear systems with non-symmetric dead-zone nonlinearities》

 
英文题目:Adaptive fuzzy asymptotic tracking control of uncertain nonaffine nonlinear systems with non-symmetric dead-zone nonlinearities

中文题目:一类带有执行器死区非线性的不确定非仿射非线性系统的自适应模糊渐进跟踪控制

第一作者:武力兵

我校署名:第二单位

所属单位:理学院

项目来源:国家自然科学基金项目

刊物名称:Information Sciences  年:2016  卷:348  页:1-14

刊物类别:国际期刊

Web of Science 类别:Computer Science;Information Systems

研究方向:Computer Science

Impact factor(2015):3.364

JCR分区:Q1

摘要:This paper is concerned with the problem of robust adaptive fuzzy tracking controller design for a class of uncertain nonaffine nonlinear systems with external disturbances and non-symmetric dead-zone nonlinearities. With the help of fuzzy logic systems (FLSs) to approximate the desired nonlinear functions, a novel direct adaptive tracking control scheme is established. First, the implicit function theorem and the mean value theorem are used to deal with the nonaffine term with unknown dead-zone input. Then, based on the estimation information for the unknown upper bound of the compounded disturbance, an adaptive fuzzy tracking controller with the corresponding parameter updating laws is designed to eliminate the effect of the compounded disturbance. Furthermore, it is proved that all the resulting closed-loop system signals are uniformly bounded and the tracking error can asymptotically converge to zero via the Lyapunov stability analysis. Finally, a numerical example is provided to verify the effectiveness of the proposed adaptive fuzzy asymptotic tracking design method.