{"title":"A search for a parsimonious basis sequence approximation of time-varying, nonlinear systems","authors":"Matthew Green, A. Zoubir","doi":"10.1109/ISCAS.2000.857048","DOIUrl":null,"url":null,"abstract":"An approach for identifying time-varying nonlinear systems is presented. The time-variation of the system is approximated by a weighted combination of sequences from a given basis. In this case, to identify the system it is sufficient to estimate the time-invariant coefficients of the sequences. The focus of our investigation is on selecting these sequences to use in the approximation. We propose using a search method to determine which sequences contribute significantly to the approximation and thus lead to a parsimonious model that is able to characterise the system dynamics and time-variation together.","PeriodicalId":6422,"journal":{"name":"2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2000-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCAS.2000.857048","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
An approach for identifying time-varying nonlinear systems is presented. The time-variation of the system is approximated by a weighted combination of sequences from a given basis. In this case, to identify the system it is sufficient to estimate the time-invariant coefficients of the sequences. The focus of our investigation is on selecting these sequences to use in the approximation. We propose using a search method to determine which sequences contribute significantly to the approximation and thus lead to a parsimonious model that is able to characterise the system dynamics and time-variation together.
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