Title

基于模糊网络的非线性不确定系统的迭代学习控制

Translated Titles

Iterative Learning Control of Nonlinear and Uncertain Systems Based on Fuzzy Network

Authors

杨治平(Zhi-Ping yang);曹长修(Chang-Xiu Chao)

Key Words

非线性系统 ; 模糊网络 ; 迭代学习控制 ; 动态增益 ; 鲁棒性 ; non-linear system ; fuzzy network ; iterative learning control ; dynamic gain ; robustness

PublicationName

信息與控制

Volume or Term/Year and Month of Publication

33卷4期(2004 / 08 / 01)

Page #

468 - 471

Content Language

簡體中文

Chinese Abstract

针对非线性不确定系统,为保证受控制系统的响应特性,应用模糊网络理论构建了非线性系统的模糊模型;基于模糊模型给出了模糊迭代学习控制算法.实例分析和仿真验证表明,所给算法能跟踪系统参数变化,并且能自动调整控制增益,对于系统的扰动影响具有鲁棒性,是一种行之有效的控制方案。

English Abstract

For non-linear uncertain system, to guarantee response properties of the controlled system, a fuzzy model of the non-linear system is constructed using fuzzy network theory. Iterative learning control algorithm is presented based on the fuzzy model. It is shown by example analysis and simulation verification that the scheme can follow parameters change of the system and can self-turn control gain. It has robustness to disturbance of the system. And it is an efficient control scheme in the practice.

Topic Category 基礎與應用科學 > 資訊科學
工程學 > 土木與建築工程
工程學 > 電機工程