Min-max predictive control techniques for a linear state-space system with a bounded set of input matrices

被引：42

作者：

Lee, JH ^{[1
]}

Cooley, BL

机构：

[1] Purdue Univ, Sch Chem Engn, W Lafayette, IN 47907 USA

[2] Exxon Chem Co, Baton Rouge Plast Plant, Baton Rouge, LA 70807 USA

来源：

AUTOMATICA | 2000年 / 36卷 / 03期

基金：

美国国家科学基金会;

关键词：

minimax techniques; predictive control; robust control; constraint satisfaction;

D O I：

10.1016/S0005-1098(99)00178-8

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Min-max predictive control of a linear state-space system with a bounded set of input matrices is studied based on a quadratic performance criterion. Systems with stable and integrating dynamics as well as time-varying and time-invariant uncertainties are treated. Algorithms that are computationally manageable and ensure closed-loop stability are developed and tested. (C) 2000 Elsevier Science Ltd. All rights reserved.

引用

页码：463 / 473

页数：11

共 13 条

[1] Robust model predictive control of stable linear systems [J].