{"title":"A novel system identification in networked environment","authors":"Hongwei Wang, Shan Sun","doi":"10.1109/ICICIP.2014.7010276","DOIUrl":null,"url":null,"abstract":"This paper is motivated by the practical modeling considerations of linear time-invariant systems working in a networked environment. Specifically, we limit the problem to off-line identification of open-loop stable continuous time systems in network. The identification problem is formulated under the configuration of event-driven actuators subject to random network induced delays and packet dropouts; the associated networked identification is based on the general non-uniformly sampled data. According to deal with colored process noise and unknown initial conditions, we proposed a modified version of the generalized linear least squares algorithm with a filter to estimate the parameters of the system model. A simulation example is presented to demonstrate the performance of the proposed algorithm.","PeriodicalId":408041,"journal":{"name":"Fifth International Conference on Intelligent Control and Information Processing","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fifth International Conference on Intelligent Control and Information Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICIP.2014.7010276","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
This paper is motivated by the practical modeling considerations of linear time-invariant systems working in a networked environment. Specifically, we limit the problem to off-line identification of open-loop stable continuous time systems in network. The identification problem is formulated under the configuration of event-driven actuators subject to random network induced delays and packet dropouts; the associated networked identification is based on the general non-uniformly sampled data. According to deal with colored process noise and unknown initial conditions, we proposed a modified version of the generalized linear least squares algorithm with a filter to estimate the parameters of the system model. A simulation example is presented to demonstrate the performance of the proposed algorithm.