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Main Authors: Saeedinia, Samaneh Alsadat, Sharifi, Mojtaba, Hosseindokht, Seyed Mohammad, Jafarpourdavatgar, Hedieh
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2408.02985
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author Saeedinia, Samaneh Alsadat
Sharifi, Mojtaba
Hosseindokht, Seyed Mohammad
Jafarpourdavatgar, Hedieh
author_facet Saeedinia, Samaneh Alsadat
Sharifi, Mojtaba
Hosseindokht, Seyed Mohammad
Jafarpourdavatgar, Hedieh
contents This paper introduces an innovative method for ensuring global stability in a broad array of nonlinear systems. The novel approach enhances the traditional analysis based on Jacobian matrices by incorporating the Taylor series boundary error of estimation and the eigenvalues of the Hessian matrix, resulting in a fresh criterion for global stability. The main strength of this methodology lies in its unrestricted nature regarding the number of equilibrium points or the system's dimension, giving it a competitive edge over alternative methods for global stability analysis. The efficacy of this method has been validated through its application to two established benchmark systems within the industrial domain. The results suggest that the expanded Jacobian stability analysis can ensure global stability under specific circumstances, which are thoroughly elaborated upon in the manuscript. The proposed approach serves as a robust tool for assessing the global stability of nonlinear systems and holds promise for advancing the realms of nonlinear control and optimization.
format Preprint
id arxiv_https___arxiv_org_abs_2408_02985
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Advancing Nonlinear System Stability Analysis with Hessian Matrix Analysis
Saeedinia, Samaneh Alsadat
Sharifi, Mojtaba
Hosseindokht, Seyed Mohammad
Jafarpourdavatgar, Hedieh
Systems and Control
This paper introduces an innovative method for ensuring global stability in a broad array of nonlinear systems. The novel approach enhances the traditional analysis based on Jacobian matrices by incorporating the Taylor series boundary error of estimation and the eigenvalues of the Hessian matrix, resulting in a fresh criterion for global stability. The main strength of this methodology lies in its unrestricted nature regarding the number of equilibrium points or the system's dimension, giving it a competitive edge over alternative methods for global stability analysis. The efficacy of this method has been validated through its application to two established benchmark systems within the industrial domain. The results suggest that the expanded Jacobian stability analysis can ensure global stability under specific circumstances, which are thoroughly elaborated upon in the manuscript. The proposed approach serves as a robust tool for assessing the global stability of nonlinear systems and holds promise for advancing the realms of nonlinear control and optimization.
title Advancing Nonlinear System Stability Analysis with Hessian Matrix Analysis
topic Systems and Control
url https://arxiv.org/abs/2408.02985