Non-linear model based predictive control

被引：43
|
作者：
Kouvaritakis, B
Cannon, M
Rossiter, JA
机构：
[1] Univ Oxford, Dept Engn Sci, Oxford OX1 3PJ, England
[2] Loughborough Univ Technol, Dept Math Sci, Loughborough LE11 3TU, Leics, England
来源：
INTERNATIONAL JOURNAL OF CONTROL | 1999年 / 72卷 / 10期
关键词：
D O I：
10.1080/002071799220650
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Linearization, interpolation and end-point constraints are combined to derive a receding horizon predictive control algorithm for continuous-time non-linear systems which are subject to input constraints. The algorithm makes extensive use of the 'tail' of input/output state trajectories, namely the extension to current time of trajectories computed at the previous time instant. Through this device, the algorithm has guaranteed feasibility and stability and has some desirable attributes with respect to dynamic performance. The results of the paper are illustrated by a model of a coupled tank system.
引用
收藏
页码：919 / 928
页数：10
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