Order Reduction of Linear Time Invariant Systems Using Genetic Algorithm

Soumya Shastry, P. Dewangan
{"title":"Order Reduction of Linear Time Invariant Systems Using Genetic Algorithm","authors":"Soumya Shastry, P. Dewangan","doi":"10.1109/ICPC2T53885.2022.9776979","DOIUrl":null,"url":null,"abstract":"This paper discusses about order reduction of linear time invariant (LTI) systems based on error minimization by Genetic algorithm. The coefficients of the state space modelmatrices of reduced dimensions are obtained by the proposed method. The reduction procedure is simple and computer oriented. An example system is considered to show the efficacy of the proposed method. The step responses of the higher order system and its models, and validation parameters areused for performance comparison. The results obtained confirm the superiority of the proposed technique.","PeriodicalId":283298,"journal":{"name":"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"95 10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPC2T53885.2022.9776979","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This paper discusses about order reduction of linear time invariant (LTI) systems based on error minimization by Genetic algorithm. The coefficients of the state space modelmatrices of reduced dimensions are obtained by the proposed method. The reduction procedure is simple and computer oriented. An example system is considered to show the efficacy of the proposed method. The step responses of the higher order system and its models, and validation parameters areused for performance comparison. The results obtained confirm the superiority of the proposed technique.
线性时不变系统的遗传降阶算法
本文讨论了基于遗传算法的误差最小化线性时不变系统的降阶问题。利用该方法得到了降维状态空间模型矩阵的系数。还原程序简单,面向计算机。最后通过实例验证了所提方法的有效性。利用高阶系统及其模型的阶跃响应和验证参数进行性能比较。实验结果证实了该方法的优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信