Control of a vulcanization process: A genetic implementation.

被引：0

作者：

Autrique, L ^{[1
]}

De Cursi, JES ^{[1
]}

机构：

[1] Univ Perpignan, CNRS, IMP, F-66860 Perpignan, France

来源：

SYSTEM STRUCTURE AND CONTROL 1997 | 1998年

关键词：

optimal control; distributed parameter systems; genetic algorithms; finite elements;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Control of industrial processes modelized by distributed parameter systems is rather difficult to implement. The increasing development of non deterministic strategies (simulated annealing, stochastic perturbations, genetic strategies,...) give a new alternative to classical optimization methods. In this paper, a genetic approach is proposed in order to determine the solution of optimal control problems. The control of a vulcanization process is investigated and an application to environmental sciences is briefly presented and leads to the determination of a spray control. Copyright (C) 1998 IFAC.

引用

页码：483 / 488

页数：6

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