{"title":"Lyapunov equations approximation using implicit restart scheme","authors":"R. Quraishi, N. Ahmed, L. Khan, F. Azeem","doi":"10.1109/ICET.2006.335989","DOIUrl":null,"url":null,"abstract":"Large scale systems with few inputs and outputs as compared to high order state variables occur frequently in control systems. These systems have input-output union lead by a few states. The aim is to make use of those dominant states and to find a low rank approximation that is a better representation of original solution of Lyapunov equations. This approximation can be used in analysis, design and model reduction of control systems. In this paper a numerical method for computation of low rank approximation of Lyapunov equation is presented. The proposed method is based on Arnoldi Krylov subspace projection method with implicit restart scheme as a supplement to refine the results. Simulation of a system has been shown to validate the proposed technique","PeriodicalId":238541,"journal":{"name":"2006 International Conference on Emerging Technologies","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 International Conference on Emerging Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICET.2006.335989","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
Large scale systems with few inputs and outputs as compared to high order state variables occur frequently in control systems. These systems have input-output union lead by a few states. The aim is to make use of those dominant states and to find a low rank approximation that is a better representation of original solution of Lyapunov equations. This approximation can be used in analysis, design and model reduction of control systems. In this paper a numerical method for computation of low rank approximation of Lyapunov equation is presented. The proposed method is based on Arnoldi Krylov subspace projection method with implicit restart scheme as a supplement to refine the results. Simulation of a system has been shown to validate the proposed technique