{"title":"A Fast System Identification Method Based on Minimum Phase Space Volume","authors":"Xinzhi Xu, Jingbo Guo","doi":"10.1109/CyberC.2012.96","DOIUrl":null,"url":null,"abstract":"In this paper, the minimum phase space volume (MPSV) method is modified to identify an autoregressive (AR) system driven by a chaotic signal blindly. After modification, the estimation speed is much faster than before, which makes the MPSV method more suitable for engineering applications. The simulation results show that, when comparing with the original MPSV method, the proposed method can obtain the same estimation result at a much higher speed.","PeriodicalId":416468,"journal":{"name":"2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery","volume":"217 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CyberC.2012.96","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In this paper, the minimum phase space volume (MPSV) method is modified to identify an autoregressive (AR) system driven by a chaotic signal blindly. After modification, the estimation speed is much faster than before, which makes the MPSV method more suitable for engineering applications. The simulation results show that, when comparing with the original MPSV method, the proposed method can obtain the same estimation result at a much higher speed.
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