Nonlinear sampled-data output feedback receding horizon control

被引：2

作者：

Adetola, V ^{[1
]}

Guay, M ^{[1
]}

机构：

[1] Queens Univ, Dept Chem Engn, Kingston, ON K7L 3N6, Canada

来源：

JOURNAL OF PROCESS CONTROL | 2005年 / 15卷 / 04期

基金：

加拿大创新基金会; 加拿大自然科学与工程研究理事会;

关键词：

receding horizon control; sampled-data control; separation principle; model predictive control;

D O I：

10.1016/j.jprocont.2004.04.009

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we present an output feedback receding horizon control for a class of SISO nonlinear systems. A globally stabilizing state feedback receding horizon control scheme is combined with a discretized high gain observer. This is motivated by the fact that measurable system's outputs are only available at specific sampling intervals. Our result follows from the application of a separation principle applicable to a class of sampled-data nonlinear systems. It is shown that the output-feedback scheme recovers the performance (rate of convergence) achieved under state feedback receding horizon control for a sufficiently large observer gain and sampling frequency. (c) 2004 Elsevier Ltd. All rialits reserved.

引用

页码：469 / 480

页数：12

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