A tutorial review of economic model predictive control methods

被引：562
作者：
Ellis, Matthew [1 ]
Durand, Helen [1 ]
Christofides, Panagiotis D. [1 ,2 ]
机构：
[1] Univ Calif Los Angeles, Dept Chem & Biomol Engn, Los Angeles, CA 90095 USA
[2] Univ Calif Los Angeles, Dept Elect Engn, Los Angeles, CA 90095 USA
来源：
JOURNAL OF PROCESS CONTROL | 2014年 / 24卷 / 08期
基金：
美国国家科学基金会;
关键词：
Economic model predictive control; Nonlinear systems; Process control; Process economics; Process optimization; SELF-OPTIMIZING CONTROL; NONLINEAR PROCESS SYSTEMS; REAL-TIME OPTIMIZATION; STATE-ESTIMATION; PERIODIC OPERATION; DYNAMIC OPTIMIZATION; CATALYTIC REACTORS; FEEDBACK-CONTROL; PARABOLIC PDES; PERFORMANCE;
D O I：
10.1016/j.jprocont.2014.03.010
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
An overview of the recent results on economic model predictive control (EMPC) is presented and discussed addressing both closed-loop stability and performance for nonlinear systems. A chemical process example is used to provide a demonstration of a few of the various approaches. The paper concludes with a brief discussion of the current status of EMPC and future research directions to promote and stimulate further research potential in this area. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码：1156 / 1178
页数：23
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