Novel Frequency-Based Approach to Analyze the Stability of Polynomial Fractional Differential Equations

Author:

Yaghoubi Hassan12ORCID,Zare Assef12ORCID,Rasouli Mohammad3,Alizadehsani Roohallah4ORCID

Affiliation:

1. Department of Electrical and Electronic Engineering, Gonabad Branch, Islamic Azad University, Gonabad 6518115743, Iran

2. Research Center of Intelligent Technologies in Electrical Industry (RCITEI), Gonabad Branch, Islamic Azad University, Gonabad 6518115743, Iran

3. College of Skills and Entrepreneurship, Mashhad Branch, Islamic Azad University, Mashhad 9187147578, Iran

4. Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Geelong, VIC 3216, Australia

Abstract

This paper proposes a novel approach for analyzing the stability of polynomial fractional-order systems using the frequency-distributed fractional integrator model. There are two types of frequency and temporal stabilization methods for fractional-order systems that global and semi-global stability conditions attain using the sum-of-squares (SOS) method. Substantiation conditions of global and asymptotical stability are complicated for fractional polynomial systems. According to recent studies on nonlinear fractional-order systems, this paper concentrates on polynomial fractional-order systems with any degree of nonlinearity. Global stability conditions are obtained for polynomial fractional-order systems (PFD) via the sum-of-squares approach and the frequency technique employed. This method can be effective in nonlinear systems where the linear matrix inequality (LMI) approach is incapable of response. This paper proposes to solve non-convex SOS-designed equations and design framework key ideas to avoid conservative problems. A Lyapunov polynomial function is determined to address the problem of PFD stabilization conditions and stability established using sufficiently expressed conditions. The main goal of this article is to present an analytical method based on the optimization method for fractional order models in the form of frequency response. This method can convert it into an optimization problem, and by changing the solution of the optimization problem, the stability of the fractional-order system can be improved.

Publisher

MDPI AG

Subject

Geometry and Topology,Logic,Mathematical Physics,Algebra and Number Theory,Analysis

Reference23 articles.

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3. Convex Lyapunov functions for stability analysis of fractional order systems;Chen;IET Control. Theory Appl.,2017

4. Stabilization of continuous-time fractional positive systems by using a Lyapunov function;Benzaouia;IEEE Trans. Autom. Control.,2014

5. Stability results for fractional differential equations with applications to control processing;Matignon;Comput. Eng. Syst. Appl.,1996

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