首页 | 本学科首页   官方微博 | 高级检索  
     

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
引用本文:杜贞斌,胡寿松.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[J].信息与控制,2005,34(2):219-222.
作者姓名:杜贞斌  胡寿松
作者单位:南京航空航天大学自动化学院,江苏,南京,210016
基金项目: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.

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
文章编号:1002-0411(2005)02-0219-04
收稿时间:2004-09-16

H∞ Control for a Class of Nonlinear Systems Based on Fuzzy Observer T-S Model and Adaptive Fuzzy Logic Systems
DU Zhen-bin,HU Shou-song.H∞ Control for a Class of Nonlinear Systems Based on Fuzzy Observer T-S Model and Adaptive Fuzzy Logic Systems[J].Information and Control,2005,34(2):219-222.
Authors:DU Zhen-bin  HU Shou-song
Abstract: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.
Keywords:fuzzy T  S model  adaptive fuzzy logic system  nonlinear system  linear matrix inequality(LMI)
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《信息与控制》浏览原始摘要信息
点击此处可从《信息与控制》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号