Efficient nonlinear model predictive control algorithms

被引：109

作者：

Cannon, M ^{[1
]}

机构：

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

来源：

ANNUAL REVIEWS IN CONTROL | 2004年 / 28卷 / 02期

关键词：

receding horizon control; nonlinear programming; computational efficiency;

D O I：

10.1016/j.arcontrol.2004.05.001

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper provides a review of computationally efficient approaches to nonlinear model predictive control. The methods considered cover the following areas: tailoring of nonlinear programming algorithms to the structure of the online optimization, use of the optimal control formulation of the receding horizon problem, constraint and cost approximations based on state space partitioning. and reparameterization of the degrees of freedom in predictions. (C) 2004 Elsevier Ltd. All rights reserved.

引用

页码：229 / 237

页数：9

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