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

Axioms, ISSN: 2075-1680, Vol: 12, Issue: 2
2023
  • 2
    Citations
  • 0
    Usage
  • 0
    Captures
  • 1
    Mentions
  • 0
    Social Media
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  • Citations
    2
  • Mentions
    1
    • News Mentions
      1
      • News
        1

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Studies from Islamic Azad University in the Area of Axioms Published (Novel Frequency-Based Approach to Analyze the Stability of Polynomial Fractional Differential Equations)

2023 FEB 20 (NewsRx) -- By a News Reporter-Staff News Editor at Math Daily News -- New research on axioms is the subject of a

Article Description

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.

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