Improved robust model predictive control with structured uncertainty

被引：35

作者：

Feng, Le ^{[1
]}

Wang, Jian Liang

Poh, Eng Kee

机构：

[1] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore

[2] DSO Natl Lab, Singapore 118230, Singapore

来源：

JOURNAL OF PROCESS CONTROL | 2007年 / 17卷 / 08期

关键词：

model predictive control; linear matrix inequalities; structured uncertainty; parameter dependent Lyapunov function;

D O I：

10.1016/j.jprocont.2007.01.008

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 paper, a dilation of the LMI characterization is presented to address constrained robust model predictive control (MPC) for a class of uncertain linear systems with structured time-varying uncertainties. The uncertainty is described in linear fractional transformation (LFT) form. By introducing slack variables and using parameter dependent Lyapunov functions, the design conservativeness is reduced compared with other existing MPC approaches. The proposed approach is applied to an industrial CSTR benchmark system to demonstrate the merits of our proposed solution. (c) 2007 Elsevier Ltd. All rights reserved.

引用

页码：683 / 688

页数：6

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