{"title":"Active identification of the inverted pendulum control system","authors":"G. Troshina, A. Voevoda","doi":"10.1109/SCM.2015.7190418","DOIUrl":null,"url":null,"abstract":"In the control system consisting of object and regulators with it is inexact parameters, requires to estimate the parameters values by means of active identification method. The object is described by the linearized continuous and discrete equations. The external signals are planned. The determinant of the Fischer information matrix is calculated. The maximum value of determinant is reached by the input signals variation. The offered approach allows to specify the object parameters and, therefore, to specify the regulators parameters in the presence of noise in a measurement signal.","PeriodicalId":106868,"journal":{"name":"2015 XVIII International Conference on Soft Computing and Measurements (SCM)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 XVIII International Conference on Soft Computing and Measurements (SCM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCM.2015.7190418","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
In the control system consisting of object and regulators with it is inexact parameters, requires to estimate the parameters values by means of active identification method. The object is described by the linearized continuous and discrete equations. The external signals are planned. The determinant of the Fischer information matrix is calculated. The maximum value of determinant is reached by the input signals variation. The offered approach allows to specify the object parameters and, therefore, to specify the regulators parameters in the presence of noise in a measurement signal.