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
收藏
页码：483 / 488
页数：6
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