您目前的位置: 首页» 论文成果» 武力兵《Adaptive fuzzy tracking control for a class of uncertain nonaffine nonlinear systems with dead-zone inputs》

武力兵《Adaptive fuzzy tracking control for a class of uncertain nonaffine nonlinear systems with dead-zone inputs》

 

英文题目:Adaptive fuzzy tracking control for a class of uncertain nonaffine nonlinear systems with dead-zone inputs

中文题目:带有死区输入的一类非仿射非线性系统的自适应模糊追踪控制

第一作者:武力兵

我校署名:第二单位(1.东北大学;2.辽宁科技大学)

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:Fuzzy Sets and Systems  年:2016  卷:290  页:1-21

刊物类别:国际期刊

Web of Science 类别:Computer Science;Information Systems

研究方向:Computer Science;Mathematics

Impact factor(2015):1.986

JCR分区:Q1

摘要:This paper considers the problem of adaptive fuzzy tracking control for a class of uncertain nonaffine nonlinear systems with mismatched external disturbances, parameter uncertainties, and nonsymmetric dead-zone inputs. Without the help of the dead-zone inverse function and by incorporating the implicit function theorem, both the adaptive state feedback tracking controller and the adaptive output feedback tracking controller based on high gain observer are designed by utilizing fuzzy logic systems (FLS) to approximate the appropriate nonlinear control input functions. A compounded disturbance is defined in terms of the external disturbance, parameter uncertainty, nonsymmetric dead-zone input, and approximation error of FLS. Under the condition that the upper bound of the compounded disturbance is unknown, novel adaptive laws are introduced to estimate and tune the unknown controller parameters on-line. Furthermore, on the basis of Lyapunov stability analysis, it is also proved that the presented control methods can guarantee that all the closed-loop system error signals are uniformly ultimately bounded. Finally, two simulation examples are provided to demonstrate efficiency of the proposed adaptive fuzzy tracking control approaches.