Nuzaihan Mhd. Yusof, N. Ishak, R. Adnan, M. Tajuddin, M. Rahiman
{"title":"Comparison of varied order for fractional-order model","authors":"Nuzaihan Mhd. Yusof, N. Ishak, R. Adnan, M. Tajuddin, M. Rahiman","doi":"10.1109/CSPA.2016.7515856","DOIUrl":null,"url":null,"abstract":"Fractional-order model is a generalization of integration and differentiation of non-integer number. Due to its flexibility, it explains a dynamic system better than integer-order model does. In this study, fractional-order model is applied in model identification of electro-hydraulic actuator system and the performance is compared with integer-order model. First-order until third-order model of both models were evaluated using output-error method. The models were validated based on their best-fit and independence test. The findings show fractional-order model can give a better estimation with less parameter.","PeriodicalId":314829,"journal":{"name":"2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSPA.2016.7515856","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
Fractional-order model is a generalization of integration and differentiation of non-integer number. Due to its flexibility, it explains a dynamic system better than integer-order model does. In this study, fractional-order model is applied in model identification of electro-hydraulic actuator system and the performance is compared with integer-order model. First-order until third-order model of both models were evaluated using output-error method. The models were validated based on their best-fit and independence test. The findings show fractional-order model can give a better estimation with less parameter.