Adaptive Stable Generalized Predictive Control Using TSK Fuzzy Model for Nonlinear Discrete-Time Systems with Time-Delays

被引：0
|
作者：
Chang, Ya-Ling [1 ,2 ]
Tsai, Ching-Chih [1 ]
机构：
[1] Natl Chung Hsing Univ, Dept Elect Engn, Taichung 40227, Taiwan
[2] Natl Chin Yi Univ Technol, Dept Refrigerat Air Conditioning & Energy Engn, Taichung 41170, Taiwan
来源：
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS | 2013年 / 15卷 / 02期
关键词：
Adaptive control; fuzzy modeling; stable generalized predictive control; STABILITY;
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：
This paper presents an adaptive stable generalized predictive control using Takagi-Sugeno-Kang (TSK) fuzzy model for nonlinear discrete-time with time-delay systems. This controller is composed of a fuzzy second-order time-delay identifier with on-line parameter estimation, and a stable generalized predictive control with abilities of accurate tracking and disturbance rejection. Numerical simulations for controlling two highly nonlinear processes reveal excellent disturbance rejection and setpoint tracking performance of the proposed control method in comparison with other methods. The results clearly indicate effectiveness and merit of the proposed method.
引用
收藏
页码：133 / 141
页数：9
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