About Structural Identifiability of Nonlinear Dynamic Systems under Uncertainty

About Structural Identifiability of Nonlinear Dynamic Systems under Uncertainty

Nikolay Karabutov

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§ MIREA - Russian Technological University

About Structural Identifiability of Nonlinear Dynamic Systems under Uncertainty

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Abstract

Approach to the analysis of nonlinear dynamic systems structural identifiability (SI) under uncertainty is proposed. This approach has a difference from methods applied to SI estimation of dynamic systems in the parametrical space. Structural identifiability is interpreted as of the structural identification possibility a system nonlinear part. We show that the input should synchronize the system for the SI problem solution. The structural identifiability estimation method is based on the analysis of the framework special class. The input parameter effect on the possibility of the SI estimation of the system is studied.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

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No ethics committee approval was required for this article type.

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Not applicable for this article.

How to Cite This Article

Nikolay Karabutov. 2018. \u201cAbout Structural Identifiability of Nonlinear Dynamic Systems under Uncertainty\u201d. Global Journal of Science Frontier Research - A: Physics & Space Science GJSFR-A Volume 18 (GJSFR Volume 18 Issue A11).

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GJSFR Volume 18 Issue A11

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Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

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GJSFR-A Classification FOR Code: 020299

Submission ReceivedOctober 8, 2018
Peer Review Double Blind
Handling Editor
Accepted October 30, 2018
Published November 14, 2018

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v1.2

Issue date

November 22, 2018

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Article Matrices

Total Score: 101

Country: Unknown

Subject: Global Journal of Science Frontier Research - A: Physics & Space Science

Authors: Nikolay Karabutov (PhD/Dr. count: 0)

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Publish Date: 2018 11, Thu

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Total Views: 3051

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