RT Journal Article ID 3e42023c69fcda2c A1 Gubarev, Vyacheslav F. A1 Aksenov, Nikolay N. T1 On an Approach to Identification of Dynamic Systems Under Uncertainty JF Journal of Automation and Information Sciences JO JAI(S) YR 2000 FD 2000-04-01 VO 32 IS 3 SP 29 OP 36 K1 parameter identification K1 state estimation K1 regularization K1 uncertainty bounds K1 ill-posed minimization problems. AB The authors discuss an approach, one of those appropriate, to identification of multidimensional systems under unknown bounded errors in a priori given data. The ideas and methods of the theory of ill-defined mathematical problems are applied in the paper to simultaneous state estimation and parameter identification. The authors introduce a smoothing functional as a fit-test criterion for a model and analyze the functional properties. A modified criterion including a regularization item is applied in order to avoid the difficulties that arise with model selection and overparametrization. PB Begell House LK https://www.dl.begellhouse.com/journals/2b6239406278e43e,25d460b86e6de837,3e42023c69fcda2c.html