{"title":"Optimal Routh Approximates for Discrete-Time Interval Systems using Kharitonov Theorem","authors":"N. Vijaya Anand, M. Sivakumar, R. Srinivasa Rao","doi":"10.1109/RTECC.2018.8625700","DOIUrl":null,"url":null,"abstract":"In this paper, a new model order reduction technique for discrete time interval system is proposed using the prominence of Social Group Optimization (SGO) search algorithm. Reduced Order Interval model is build using Alpha parameters of Higher Order discrete time Interval Systems that are derived based on a recursive formula. The proposed order reduction method is obtained by minimizing Integral Squared Error as an objective function. Numerical example existing in literature are considered to show the effectiveness of the technique. Convincing simulation results are obtained. Keywords:","PeriodicalId":445688,"journal":{"name":"2018 International Conference on Recent Trends in Electrical, Control and Communication (RTECC)","volume":"52 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Recent Trends in Electrical, Control and Communication (RTECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTECC.2018.8625700","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
In this paper, a new model order reduction technique for discrete time interval system is proposed using the prominence of Social Group Optimization (SGO) search algorithm. Reduced Order Interval model is build using Alpha parameters of Higher Order discrete time Interval Systems that are derived based on a recursive formula. The proposed order reduction method is obtained by minimizing Integral Squared Error as an objective function. Numerical example existing in literature are considered to show the effectiveness of the technique. Convincing simulation results are obtained. Keywords:
本文利用社会群体优化(Social Group Optimization, SGO)搜索算法的优势,提出了一种新的离散时间间隔系统模型降阶技术。利用基于递归公式导出的高阶离散时间区间系统的Alpha参数,建立了降阶区间模型。所提出的降阶方法是通过最小化积分平方误差作为目标函数来实现的。结合文献中已有的数值算例,验证了该方法的有效性。仿真结果令人信服。关键词: