Fuzzy Based Model Predictive Control for Uncertain Nonlinear System

被引：1
|
作者：
Xu, Li [1 ]
Liu, Fei [1 ]
机构：
[1] Jiangnan Univ, Inst Automat, Wuxi, Peoples R China
来源：
MANUFACTURING SCIENCE AND TECHNOLOGY, PTS 1-8 | 2012年 / 383-390卷
关键词：
discrete time-delay systems; T-S fuzzy modeling; PDC predictive control; semi-definite programming; uncertainty;
D O I：
10.4028/www.scientific.net/AMR.383-390.2404
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this paper, a model predictive control (MPC) scheme is investigated for uncertain nonlinear system with time delay and input constraint. First, the Takagi-Sugeno (T-S) fuzzy model is used to approximate the dynamics of nonlinear processes and the parallel distributed compensation (PDC) controllers which are parameter dependent and mirror the structure of the T-S plant model are proposed. Then a novel feedback PDC predictive controller obtained from the linear matrix inequality (LMI) solutions which can guarantee the stability of the closed-loop overall fuzzy system is put forward. Finally, a numerical example is provided to demonstrate the effectiveness and feasibility of the proposed method.
引用
收藏
页码：2404 / 2410
页数：7
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