天津科技大学学报2011，Vol.26Issue(6)：74-78,5.
一类非线性系统的自适应模糊控制器设计及稳定性分析
Design of an Adaptive Fuzzy Controller for Nonlinear Systems and the Stability Analysis
摘要
Abstract
Some dynamic T-S fuzzy subsystems were presented to approximate a nonlinear system. The stable reference model with the same fuzzy sets as those of the T-S fuzzy subsystems rule was established. To make the states of the closed-loop system follow those of the reference model, a feedback controller was designed. The control gain can be solved by LMI approach. The closed-loop systems can be stable when the exact models are known. To compensate and eliminate the parameter uncertainty and disturbance usually existing in the practical plant, an adaptive fuzzy controller was further proposed. It can achieve the better performance,compensate the parameter uncertainty and alleviate the disturbance. Finally Lyapunov constitute technique was used to prove the stability of the closed loop systems. The simulations results illustrated the effectiveness of this approach.关键词
线性矩阵不等式/自适应模糊控制/T-S模糊逻辑模型Key words
LMI/ adaptive fuzzy control/ T-S fuzzy model分类
数理科学引用本文复制引用
孙成功,李莉..一类非线性系统的自适应模糊控制器设计及稳定性分析[J].天津科技大学学报,2011,26(6):74-78,5.基金项目
天津科技大学科学研究基金资助项目(20080207) （20080207）
