A neural network model predictive controller

被引：139

作者：

Akesson, Bernt M. ^{[1
]}

Toivonen, Hannu T. ^{[1
]}

机构：

[1] Abo Akad Univ, Dept Chem Engn, FIN-20500 Turku, Finland

来源：

JOURNAL OF PROCESS CONTROL | 2006年 / 16卷 / 09期

基金：

芬兰科学院;

关键词：

model predictive control; neural networks; nonlinear control;

D O I：

10.1016/j.jprocont.2006.06.001

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A neural network controller is applied to the optimal model predictive control of constrained nonlinear systems. The control law is represented by a neural network function approximator, which is trained to minimize a control-relevant cost function. The proposed procedure can be applied to construct controllers with arbitrary structures, such as optimal reduced-order controllers and decentralized controllers. (C) 2006 Elsevier Ltd. All rights reserved.

引用

页码：937 / 946

页数：10

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