A numerically robust state-space approach to stable-predictive control strategies

被引：173

作者：

Rossiter, JA ^{[1
]}

Kouvaritakis, B

Rice, MJ

机构：

[1] Univ Loughborough, Dept Math Sci, Loughborough LE11 3TU, Leics, England

[2] Univ Oxford, Dept Engn Sci, Oxford OX1 3PJ, England

来源：

AUTOMATICA | 1998年 / 34卷 / 01期

基金：

英国工程与自然科学研究理事会;

关键词：

predictive control; numerical conditioning; guaranteed stability;

D O I：

10.1016/S0005-1098(97)00171-4

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Recent work with predictive control strategies has shown that the stable GPC (SGPC) approach has significant computational and numerical advantages. However, SGPC is cast in the transfer function framework which limits its application. Here we develop a means of extending the results to state-space models and show that improved numerical conditioning can be obtained for many stable-predictive control strategies. (C) 1998 Elsevier Science Ltd. All rights reserved.

引用

页码：65 / 73

页数：9

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