Adaptive Fuzzy Generalized Predictive Control for a Class of Unknown Parameters Multivariable Linear System

被引：0
|
作者：
Shi, Wuxi [1 ]
Ma, Yingxin [1 ]
Chen, Yuchan [1 ]
Guo, Ziguang [1 ]
机构：
[1] Tianjin Polytech Univ, Sch Elect Engn & Automat, Tianjin 300160, Peoples R China
来源：
PROCEEDINGS OF THE 2012 24TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2012年
关键词：
multivariable linear system; generalized predictive control; adaptive fuzzy control; stability analysis;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
An adaptive fuzzy generalized predictive control scheme for a class of multivariable linear systems with unknown parameters is presented. With this scheme, the vector composed of fuzzy logic systems is used to design predictive controller directly, and the unknown vector in controller and the estimated value of approximation error are adjusted by time-varying adaptation laws. It is proved that the proposed method can make the tracking error converge to a neighborhood of the origin.
引用
收藏
页码：2691 / 2695
页数：5
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