{"title":"多项式非线性时变Wiener系统的递归辨识","authors":"J. Vörös","doi":"10.1504/IJAAC.2008.020421","DOIUrl":null,"url":null,"abstract":"This paper deals with the recursive identification of time-varying Wiener systems with polynomial non-linearities. A special form of Wiener model is considered, which is linear-in-parameters. The proposed algorithm is a direct application of the known recursive least squares method extended with the estimation of internal variable values. An illustrative example is included.","PeriodicalId":45089,"journal":{"name":"International Journal of Automation and Control","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2008-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJAAC.2008.020421","citationCount":"2","resultStr":"{\"title\":\"Recursive identification of time-varying Wiener systems with polynomial non-linearities\",\"authors\":\"J. Vörös\",\"doi\":\"10.1504/IJAAC.2008.020421\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper deals with the recursive identification of time-varying Wiener systems with polynomial non-linearities. A special form of Wiener model is considered, which is linear-in-parameters. The proposed algorithm is a direct application of the known recursive least squares method extended with the estimation of internal variable values. An illustrative example is included.\",\"PeriodicalId\":45089,\"journal\":{\"name\":\"International Journal of Automation and Control\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2008-09-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1504/IJAAC.2008.020421\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Automation and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/IJAAC.2008.020421\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Automation and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJAAC.2008.020421","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
Recursive identification of time-varying Wiener systems with polynomial non-linearities
This paper deals with the recursive identification of time-varying Wiener systems with polynomial non-linearities. A special form of Wiener model is considered, which is linear-in-parameters. The proposed algorithm is a direct application of the known recursive least squares method extended with the estimation of internal variable values. An illustrative example is included.
期刊介绍:
IJAAC addresses the evolution and realisation of the theory, algorithms, techniques, schemes and tools for any kind of automation and control platforms including macro, micro and nano scale machineries and systems, with emphasis on implications that state-of-the-art technology choices have on both the feasibility and practicability of the intended applications. This perspective acknowledges the complexity of the automation, instrumentation and process control methods and delineates itself as an interface between the theory and practice existing in parallel over diverse spheres. Topics covered include: -Control theory and practice- Identification and modelling- Mechatronics- Application of soft computing- Real-time issues- Distributed control and remote monitoring- System integration- Fault detection and isolation (FDI)- Virtual instrumentation and control- Fieldbus technology and interfaces- Agriculture, environment, health applications- Industry, military, space applications