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Karabutov, N. (2017) Structural Methods of Design Identification Systems. In: Uvarova, L., Nadykto, A.B. and Latyshev, A.V., Ed., Nonlinearity: Problems, Solutions and Applications. Vol. 1, Nova Science Publishers Inc., Hauppauge, 233-274.

has been cited by the following article:

• TITLE: Structural-Identification Aspects of Decision-Making in Systems with Bouc-Wen Hysteresis

  AUTHORS: Nikolay Karabutov

  KEYWORDS: Structure, Framework, Identification, Structural Identifiability, Bouc-Wen Hysteresis, Nonlinearity, Adaptation

  JOURNAL NAME: Intelligent Control and Automation, Vol.12 No.4, February 9, 2022

  ABSTRACT: Considering the structural analysis problem of systems properties with Bouc-Wen hysteresis (BWH), various approaches are proposed for the identification of BWH parameters. The applied methods and algorithms are based on the design of parametric models and consider a priori information and the results of data analysis. Structural changes in the BWH form a priori. Methods for the Bouc-Wen model (BWM) identification and its structure estimation are not considered under uncertainty. The study’s purpose is the analysis the structural problems of the Bouc-Wen hysteresis identification. The analysis base is the application of geometric frameworks (GF) under uncertainty. Methods for adaptive estimation parameters and structural of BWM were proposed. The adaptive system stability is proved based on vector Lyapunov functions. An approach is proposed to estimate the identifiability and structure of the system with BWH. The method for estimating the identifiability degree based on the analysis of GF is considered. BWM modifications are proposed to guarantee the system’s stability and simplify its description.