Adaptive Fuzzy Tracking Control for a Class of Uncertain Nonlinear Systems
An adaptive fuzzy control algorithm is designed for a class of uncertain nonlinear nonaffine systems. Fuzzy logic systems are used to approximate unknown nonlinear functions. In contrast to the previous results of nonlinear nonaffine systems, a main advantage is that it does not require a priori knowledge about the sign of the control gain coefficient. It can be proven that the closed-loop system is stable in the sense that all the signals are bounded and the system output track the reference signal to a small neighborhood of the origin by appropriately choosing design parameters.
Adaptive fuzzy control Nonaffine nonlinear systems Uncertainties
Yan-Jun Liu Ya-Qin Zheng
Department of Mathematics and Physics, Liaoning University of Technology, Jinzhou, Liaoning, 121001
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
941-944
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）