Robust Multi-Parametric Model-Based Control

被引：0

作者：

Pistikopoulos, Efstrations N. ^{[1
]}

Kouramas, Konstantinos I. ^{[1
]}

Faisca, Nuno P. ^{[2
]}

机构：

[1] Imperial Coll London, Ctr Proc Syst Engn, London SW7 2AZ, England

[2] Process Syst Enterprise, London, England

来源：

19TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING | 2009年 / 26卷

基金：

英国工程与自然科学研究理事会;

关键词：

Robust Model Predictive Control; Multi-parametric programming; Dynamic Programming; PROGRAMMING PROBLEMS;

D O I：

暂无

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

In this work we present the fundamental theoretical developments for a unified and general framework for the design of Robust Multi-Parametric Controllers. Given a dynamic system, with model uncertainties appearing both in the left-hand side and the right-hand side of the underlying MPC optimisation problem, the proposed framework uses a dynamic programming and robust multi-parametric optimization approach to obtain the current and future control actions as a function of the initial system state i.e. a feedback control law.

引用

页码：297 / 302

页数：6

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