On multi-parametric programming and its applications in process systems engineering

被引：55

作者：

Oberdieck, Richard ^{[1
,2
]}

Diangelakis, Nikolaos A. ^{[1
,2
]}

Nascu, Ioana ^{[2
]}

Papathanasiou, Maria M. ^{[1
,2
]}

Sun, Muxin ^{[1
,2
]}

Auraamidou, Styliani ^{[1
,2
]}

Pistikopoulos, Efstratios N. ^{[2
]}

机构：

[1] Imperial Coll London, Dept Chem Engn, London, England

[2] Texas A&M Univ, Dept Chem Engn, College Stn, TX 77843 USA

来源：

CHEMICAL ENGINEERING RESEARCH & DESIGN | 2016年 / 116卷

基金：

英国工程与自然科学研究理事会;

关键词：

Multi-parametric programming; Multi-parametric mixed-integer programming; Multi-parametric dynamic optimization; MODEL-PREDICTIVE CONTROL; POINT LOCATION PROBLEM; INVARIANCY SENSITIVITY-ANALYSIS; EFFICIENT ONLINE COMPUTATION; PIECEWISE-LINEAR NATURE; DISCRETE-TIME-SYSTEMS; EXPLICIT MPC; STATE ESTIMATION; DYNAMIC OPTIMIZATION; GLOBAL OPTIMIZATION;

D O I：

10.1016/j.cherd.2016.09.034

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

In multi-parametric programming, an optimization problem is solved for a range and as a function of multiple parameters. In this review, we discuss the main developments of multi-parametric programming over the last two decades from a theoretical, algorithmic and application perspective. In addition, we provide an opinionated view of the future research directions in multi-parametric programming. (C) 2016 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.

引用

页码：61 / 82

页数：22

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