基于模糊观测器T-S模型和自适应模糊逻辑系统的一类非线性系统的H_∞控制  

H_∞ Control for a Class of Nonlinear Systems Based on Fuzzy Observer T S Model and Adaptive Fuzzy Logic Systems

作　　者：杜贞斌[1] 胡寿松[1] 

机构地区：[1]南京航空航天大学自动化学院,江苏南京210016

出　　处：《信息与控制》2005年第2期219-222,共4页Information and Control

基　　金：国家自然科学基金重点资助项目(60234010);国防基础科研资助项目(K1603060318)

摘　　要：针对一类非线性系统,把模糊T S模型和自适应模糊逻辑系统两类模糊逻辑方式结合起来,提出了一种基于观测器的控制方案.首先,应用模糊T-S模型对非线性系统建模,设计观测器来观测系统状态;由线性矩阵不等式得到模糊模型的控制律.其次,应用自适应模糊逻辑系统作为补偿器来补偿建模误差.证明了闭环系统满足期望的性能.仿真结果表明了该方案的可行性.Combining both kinds of fuzzy logic forms including fuzzy T S model and adaptive fuzzy logic systems, this paper presents an observer based control scheme for a class of nonlinear systems. Firstly, the fuzzy T S model is used to approximate the nonlinear system, and an observer is designed to observe the system status. The fuzzy control law of the fuzzy model is derived with the linear matrix inequality. Secondly, the modeling errors are eliminated by a compensator based on the adaptive fuzzy logic systems. It is proved that the closed loop system satisfies the anticipated performance. Simulation results demonstrate that the control scheme is feasible.

关 键 词：模糊T-S模型 自适应模糊逻辑系统 非线性系统 线性矩阵不等式 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]