RECEDING-HORIZON PREDICTIVE CONTROL WITH EXPONENTIAL WEIGHTING

被引：20

作者：

YOON, TW

CLARKE, DW

机构：

[1] Department of Engineering Science, University of Oxford, Oxford, Parks Road

来源：

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE | 1993年 / 24卷 / 09期

关键词：

Model predictive control - Predictive control systems - Closed loop systems;

D O I：

10.1080/00207729308949591

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Exponential weighting of future tracking errors and control increments is employed for receding-horizon predictive control and seen to improve the dynamic behaviour of the closed-loop system. A sufficient condition for the asymptotic stability of generalized predictive control (GPC) with these weightings is derived. The condition can be easily satisfied whereas the corresponding condition for GPC with constant weighting is highly restrictive. In the case of constrained receding-horizon predictive control (CRHPC), a prescribed degree of stability is obtained just as with infinite-horizon optimal control using the same type of weighting. This makes it possible to use a simplified CRHPC law with no weighting on the tracking error but which guarantees convergence to the set-point faster than a bounding exponential.

引用

页码：1745 / 1757

页数：13

共 20 条

[1]

Anderson B. D. O., 1971, LINEAR OPTIMAL CONTR

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