{"title":"大系统降阶的差分进化与模拟退火的比较研究","authors":"Princy Saraswat, G. Parmar","doi":"10.1109/CCINTELS.2015.7437923","DOIUrl":null,"url":null,"abstract":"In this paper, a comparative study of Differential Evolution (DE) and Simulated Annealing (SA) for the order reduction of large scale systems has been carried out. Order reduction is the most important field for analyzing and synthesizing the systems. In the present work, DE and SA along with dominant pole retention technique have been utilized for order reduction of system. The comparison provides the accuracy of techniques in terms of integral square error (ISE) along with time and frequency responses. Also, a comparative study of mentioned techniques with other existing techniques available in the literature has also been given in tabular form. Reduced order system approximates and preserves the stability of the original high order system.","PeriodicalId":131816,"journal":{"name":"2015 Communication, Control and Intelligent Systems (CCIS)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"A comparative study of Differential Evolution and Simulated Annealing for order reduction of large scale systems\",\"authors\":\"Princy Saraswat, G. Parmar\",\"doi\":\"10.1109/CCINTELS.2015.7437923\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a comparative study of Differential Evolution (DE) and Simulated Annealing (SA) for the order reduction of large scale systems has been carried out. Order reduction is the most important field for analyzing and synthesizing the systems. In the present work, DE and SA along with dominant pole retention technique have been utilized for order reduction of system. The comparison provides the accuracy of techniques in terms of integral square error (ISE) along with time and frequency responses. Also, a comparative study of mentioned techniques with other existing techniques available in the literature has also been given in tabular form. Reduced order system approximates and preserves the stability of the original high order system.\",\"PeriodicalId\":131816,\"journal\":{\"name\":\"2015 Communication, Control and Intelligent Systems (CCIS)\",\"volume\":\"67 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 Communication, Control and Intelligent Systems (CCIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCINTELS.2015.7437923\",\"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 Communication, Control and Intelligent Systems (CCIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCINTELS.2015.7437923","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A comparative study of Differential Evolution and Simulated Annealing for order reduction of large scale systems
In this paper, a comparative study of Differential Evolution (DE) and Simulated Annealing (SA) for the order reduction of large scale systems has been carried out. Order reduction is the most important field for analyzing and synthesizing the systems. In the present work, DE and SA along with dominant pole retention technique have been utilized for order reduction of system. The comparison provides the accuracy of techniques in terms of integral square error (ISE) along with time and frequency responses. Also, a comparative study of mentioned techniques with other existing techniques available in the literature has also been given in tabular form. Reduced order system approximates and preserves the stability of the original high order system.