Intelligent Control and Automation

Volume 12, Issue 2 (May 2021)

ISSN Print: 2153-0653   ISSN Online: 2153-0661

Google-based Impact Factor: 1.27  Citations  h5-index & Ranking

Geometrical Frameworks in Identification Problem

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DOI: 10.4236/ica.2021.122002    41 Downloads   140 Views  
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ABSTRACT

The purpose of this review is to apply geometric frameworks in identification problems. In contrast to the qualitative theory of dynamical systems (DSQT), the chaos and catastrophes, researches on the application of geometric frameworks have not been performed in identification problems. The direct transfer of DSQT ideas is inefficient through the peculiarities of identification systems. In this paper, the attempt is made based on the latest researches in this field. A methodology for the synthesis of geometric frameworks (GF) is proposed, which reflects features of nonlinear systems. Methods based on GF analysis are developed for the decision-making on properties and structure of nonlinear systems. The problem solution of structural identifiability is obtained for nonlinear systems under uncertainty.

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Karabutov, N. (2021) Geometrical Frameworks in Identification Problem. Intelligent Control and Automation, 12, 17-43. doi: 10.4236/ica.2021.122002.

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