Design and optimization of an Active OTA-C Filter Based on STOHE Algorithm

D. Barri, J. Jakovenko
{"title":"Design and optimization of an Active OTA-C Filter Based on STOHE Algorithm","authors":"D. Barri, J. Jakovenko","doi":"10.23919/AE.2019.8866997","DOIUrl":null,"url":null,"abstract":"With increasing demands on design and optimization of analog circuits in real applications, a limited number of algorithms for practical use have been presented. The drawbacks of already existing standard algorithms are in a possibility to stagnate in a not optimal solution and also big time consumption. These drawbacks have been overcome by our new proposed algorithm STOHE. The new algorithm is a combination of a STOchastic and HEuristic algorithms. As the stochastic respectively heuristic algorithm was chosen differential evolution algorithm respectively simplex algorithm. The algorithm has been verified by the design and optimization of an active OTA-C filter where the standard approach fails.","PeriodicalId":177095,"journal":{"name":"2019 International Conference on Applied Electronics (AE)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Applied Electronics (AE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/AE.2019.8866997","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

With increasing demands on design and optimization of analog circuits in real applications, a limited number of algorithms for practical use have been presented. The drawbacks of already existing standard algorithms are in a possibility to stagnate in a not optimal solution and also big time consumption. These drawbacks have been overcome by our new proposed algorithm STOHE. The new algorithm is a combination of a STOchastic and HEuristic algorithms. As the stochastic respectively heuristic algorithm was chosen differential evolution algorithm respectively simplex algorithm. The algorithm has been verified by the design and optimization of an active OTA-C filter where the standard approach fails.
基于STOHE算法的有源OTA-C滤波器的设计与优化
随着实际应用中对模拟电路设计和优化的要求越来越高,可供实际使用的算法数量有限。现有标准算法的缺点是有可能在非最优解中停滞不前,并且耗时大。我们提出的STOHE算法克服了这些缺点。该算法是随机算法和启发式算法的结合。由于随机分别选择了启发式算法,分别选择了差分进化算法和单纯形算法。通过对一个有源OTA-C滤波器的设计和优化,验证了该算法的有效性。
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:604180095
Book学术官方微信