Generalized Quasi-Orthogonal Functional Networks Applied in Parameter Sensitivity Analysis of Complex Dynamical Systems

This paper presents one possible application of generalized quasi-orthogonal functional networks in the sensitivity analysis of complex dynamical systems. First, a new type of first order (k = 1) generalized quasi-orthogonal polynomials of Legendre type via classical quasi-orthogonal polynomials was...

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Main Authors: Sasa S. Nikolic, Dragan S. Antic, Nikola B. Dankovic, Aleksandra A. Milovanovic, Darko B. Mitic, Miroslav B. Milovanovic, Petar S. Djekic
Format: Article
Language:English
Published: Kaunas University of Technology 2022-08-01
Series:Elektronika ir Elektrotechnika
Subjects:
Online Access:https://eejournal.ktu.lt/index.php/elt/article/view/31110
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author Sasa S. Nikolic
Dragan S. Antic
Nikola B. Dankovic
Aleksandra A. Milovanovic
Darko B. Mitic
Miroslav B. Milovanovic
Petar S. Djekic
author_facet Sasa S. Nikolic
Dragan S. Antic
Nikola B. Dankovic
Aleksandra A. Milovanovic
Darko B. Mitic
Miroslav B. Milovanovic
Petar S. Djekic
author_sort Sasa S. Nikolic
collection DOAJ
description This paper presents one possible application of generalized quasi-orthogonal functional networks in the sensitivity analysis of complex dynamical systems. First, a new type of first order (k = 1) generalized quasi-orthogonal polynomials of Legendre type via classical quasi-orthogonal polynomials was introduced. The short principle to design generalized quasi-orthogonal polynomials and filters was also shown. A generalized quasi-orthogonal functional network represents an extension of classical orthogonal functional networks and neural networks, which deal with general functional models. A sequence of the first order (k = 1) generalized quasi-orthogonal polynomials was used as a new basis in the proposed generalized quasi-orthogonal functional networks. The proposed method for determining the parameter sensitivity of complex dynamical systems is also given, and an example of a complex industrial system in the form of a tower crane was considered. The results obtained have been compared with different methods for parameter sensitivity analysis.
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spelling doaj.art-ccdbff5bc7b64b909b17fbacacbfbf0d2022-12-22T04:19:17ZengKaunas University of TechnologyElektronika ir Elektrotechnika1392-12152029-57312022-08-01284192610.5755/j02.eie.3111036364Generalized Quasi-Orthogonal Functional Networks Applied in Parameter Sensitivity Analysis of Complex Dynamical SystemsSasa S. Nikolic0Dragan S. Antic1https://orcid.org/0000-0002-5880-5173Nikola B. Dankovic2https://orcid.org/0000-0003-0986-5695Aleksandra A. Milovanovic3Darko B. Mitic4https://orcid.org/0000-0001-9483-0176Miroslav B. Milovanovic5https://orcid.org/0000-0003-0535-0790Petar S. Djekic6https://orcid.org/0000-0001-9506-7301Department of Control Systems, Faculty of Electronic Engineering, University of Nis, SerbiaDepartment of Control Systems, Faculty of Electronic Engineering, University of Nis, SerbiaDepartment of Control Systems, Faculty of Electronic Engineering, University of Nis, SerbiaDepartment of Control Systems, Faculty of Electronic Engineering, University of Nis, SerbiaDepartment of Control Systems, Faculty of Electronic Engineering, University of Nis, SerbiaDepartment of Control Systems, Faculty of Electronic Engineering, University of Nis, SerbiaThe Academy of Applied Technical and Preschool Studies-Nis, SerbiaThis paper presents one possible application of generalized quasi-orthogonal functional networks in the sensitivity analysis of complex dynamical systems. First, a new type of first order (k = 1) generalized quasi-orthogonal polynomials of Legendre type via classical quasi-orthogonal polynomials was introduced. The short principle to design generalized quasi-orthogonal polynomials and filters was also shown. A generalized quasi-orthogonal functional network represents an extension of classical orthogonal functional networks and neural networks, which deal with general functional models. A sequence of the first order (k = 1) generalized quasi-orthogonal polynomials was used as a new basis in the proposed generalized quasi-orthogonal functional networks. The proposed method for determining the parameter sensitivity of complex dynamical systems is also given, and an example of a complex industrial system in the form of a tower crane was considered. The results obtained have been compared with different methods for parameter sensitivity analysis.https://eejournal.ktu.lt/index.php/elt/article/view/31110orthogonal polynomialssensitivity analysisfunctional networkstower crane
spellingShingle Sasa S. Nikolic
Dragan S. Antic
Nikola B. Dankovic
Aleksandra A. Milovanovic
Darko B. Mitic
Miroslav B. Milovanovic
Petar S. Djekic
Generalized Quasi-Orthogonal Functional Networks Applied in Parameter Sensitivity Analysis of Complex Dynamical Systems
Elektronika ir Elektrotechnika
orthogonal polynomials
sensitivity analysis
functional networks
tower crane
title Generalized Quasi-Orthogonal Functional Networks Applied in Parameter Sensitivity Analysis of Complex Dynamical Systems
title_full Generalized Quasi-Orthogonal Functional Networks Applied in Parameter Sensitivity Analysis of Complex Dynamical Systems
title_fullStr Generalized Quasi-Orthogonal Functional Networks Applied in Parameter Sensitivity Analysis of Complex Dynamical Systems
title_full_unstemmed Generalized Quasi-Orthogonal Functional Networks Applied in Parameter Sensitivity Analysis of Complex Dynamical Systems
title_short Generalized Quasi-Orthogonal Functional Networks Applied in Parameter Sensitivity Analysis of Complex Dynamical Systems
title_sort generalized quasi orthogonal functional networks applied in parameter sensitivity analysis of complex dynamical systems
topic orthogonal polynomials
sensitivity analysis
functional networks
tower crane
url https://eejournal.ktu.lt/index.php/elt/article/view/31110
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