PARAMETRIC OPTIMIZATION BY PRIMAL METHOD IN MULTILEVEL SYSTEMS

被引:16
作者
FINDEISEN, W
机构
[1] Systems Research Center, Case Western Reserve University, Cleveland, Ohio
[2] Technical University of Warsaw, Warsaw
来源
IEEE TRANSACTIONS ON SYSTEMS SCIENCE AND CYBERNETICS | 1968年 / SSC4卷 / 02期
关键词
D O I
10.1109/TSSC.1968.300143
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
This paper deals with optimal control in multilevel systems. The decomposition of a system into N subsystems is presented as a problem of formulating the performance index P(m)as a function of N components P(P1, P2, …, Pn) and of transforming the system constraint m∈R into a set of constraints [formula omitted] where v is the coordination variable. Ways of achieving this goal as applicable to typical systems are presented. Some aspects of choosing the coordination variable and the tradeoffs involved are discussed. Lagrangian methods as used previously by Lasdon and Pearson are shown to be a particular case of parametric optimization, and the range of their applicability is specified. Simple examples of static optimization serve to illustrate the approach. Copyright © 1968 by The Institute of Electrical and Electronics Engineers, Inc.
引用
收藏
页码:155 / +
页数:1
相关论文
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