Adaptive Multiple-model control of a class of nonlinear system using soft computing

被引：0
|
作者：
Ke, Hai-sen [1 ]
Zheng, Cai-juan [1 ]
Yang, Wei-qi [2 ]
机构：
[1] China Jiliang Univ, Coll Mech & Elect Engn, Hangzhou 310018, Peoples R China
[2] China Offshore Oil Engn CO LTD, Tianjin, Peoples R China
来源：
2009 IITA INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS ENGINEERING, PROCEEDINGS | 2009年
基金：
中国国家自然科学基金;
关键词：
adaptive control; multiple identification models; nonlinear system;
D O I：
10.1109/CASE.2009.117
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this note, an adaptive multiple-model controller was developed for a class of nonlinear systems. The multiple models technique was used to describe the most appropriate model at different environments. By designing a blending instead of switching scheme, some models close to the real plant can be selected quickly, so that the transient performance can be improved significantly. Unlike previous results, we do not require a switching scheme to guarantee the most appropriate model to be chosen which can simplify the analysis of the stability of the closed-loop system. Besides, the proposed adaptive controller is a continuous type controller.
引用
收藏
页码：35 / +
页数：2
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