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
收藏
页码：297 / 302
页数：6
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