{"title":"On the Identification of Control Failures by the Dynamic Regularization Method","authors":"V. I. Maksimov, Yu. S. Osipov","doi":"10.1134/s0081543824030106","DOIUrl":null,"url":null,"abstract":"<p>The problem of calculating points and magnitudes of discontinuities in the controls acting on a system\ndescribed by a nonlinear vector ordinary differential equation is considered. A similar problem is well known in\nsystems theory and belongs to the class of failure identification problems. This paper specifies a regularizing algorithm\nthat solves the problem synchronously with the process of functioning of the control system.\nThe algorithm is based on a feedback control method called the dynamic regularization method in the literature;\nthis method was previously actively used in problems of online reconstruction of nonsmooth unknown disturbances.\nThe algorithm described in this work is stable to information noises and computational errors.\n</p>","PeriodicalId":0,"journal":{"name":"","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1134/s0081543824030106","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
The problem of calculating points and magnitudes of discontinuities in the controls acting on a system
described by a nonlinear vector ordinary differential equation is considered. A similar problem is well known in
systems theory and belongs to the class of failure identification problems. This paper specifies a regularizing algorithm
that solves the problem synchronously with the process of functioning of the control system.
The algorithm is based on a feedback control method called the dynamic regularization method in the literature;
this method was previously actively used in problems of online reconstruction of nonsmooth unknown disturbances.
The algorithm described in this work is stable to information noises and computational errors.