{"title":"SISO方法采用改进的改进极点聚类和遗传算法","authors":"J. Singh, C. Vishwakarma, K. Chatterjee","doi":"10.1109/ENERGYECONOMICS.2015.7235117","DOIUrl":null,"url":null,"abstract":"To reduce the order of the large-scale dynamic systems, a method has been proposed by merging improved modified pole clustering and Genetic Algorithm. Reduced order denominator and numerator polynomial is obtained via improved modified pole clustering technique and Genetic Algorithm respectively. The method produces `k' number of reduced order systems for kth - order reduction. A numerical example has been taken from the literature to show the viability of the proposed mixed method and also compared with existing order reduction methods.","PeriodicalId":130355,"journal":{"name":"2015 International Conference on Energy Economics and Environment (ICEEE)","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"SISO method using improved modified pole clustering and genetic algorithm\",\"authors\":\"J. Singh, C. Vishwakarma, K. Chatterjee\",\"doi\":\"10.1109/ENERGYECONOMICS.2015.7235117\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To reduce the order of the large-scale dynamic systems, a method has been proposed by merging improved modified pole clustering and Genetic Algorithm. Reduced order denominator and numerator polynomial is obtained via improved modified pole clustering technique and Genetic Algorithm respectively. The method produces `k' number of reduced order systems for kth - order reduction. A numerical example has been taken from the literature to show the viability of the proposed mixed method and also compared with existing order reduction methods.\",\"PeriodicalId\":130355,\"journal\":{\"name\":\"2015 International Conference on Energy Economics and Environment (ICEEE)\",\"volume\":\"2015 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-03-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Energy Economics and Environment (ICEEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ENERGYECONOMICS.2015.7235117\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Energy Economics and Environment (ICEEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ENERGYECONOMICS.2015.7235117","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
SISO method using improved modified pole clustering and genetic algorithm
To reduce the order of the large-scale dynamic systems, a method has been proposed by merging improved modified pole clustering and Genetic Algorithm. Reduced order denominator and numerator polynomial is obtained via improved modified pole clustering technique and Genetic Algorithm respectively. The method produces `k' number of reduced order systems for kth - order reduction. A numerical example has been taken from the literature to show the viability of the proposed mixed method and also compared with existing order reduction methods.