Computationally efficient algorithms for constraint handling with guaranteed stability and near optimality

被引:21
作者
Rossiter, JA
Kouvaritakis, B
Cannon, M
机构
[1] Univ Sheffield, Dept Automat Control & Syst Engn, Sheffield S1 3JD, S Yorkshire, England
[2] Univ Oxford, Dept Engn Sci, Oxford OX1 3PJ, England
[3] Loughborough Univ Technol, Dept Math Sci, Loughborough LE11 3TU, Leics, England
关键词
D O I
10.1080/00207170110091128
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Predictive control strategies allow for the systematic handling of constraint, performance and stability. However, the associated algorithms can be computational burdensome and/or difficult to unravel. The aim of this paper is to discuss and compare algorithms based on invariant sets which meet the additional requirement for computational simplicity. There may of course be a concomitant loss of optimality, but as illustrated, this can be minimal and often is a small price to pay when one considers the significant improvements in efficiency.
引用
收藏
页码:1678 / 1689
页数:12
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