Inverse problem for determining the fractional order in oscillatory systems by moving mass coordinates

Abstract This paper addresses an inverse problem for determining the fractional order of an oscillatory system operating in a Newtonian fluid. The governing fractional differential equation is first transformed into a Volterra integral equation of the second kind with respect to the displacement of the mass coordinate. Subsequently, the solution of the resulting integral equation is represented in the form of a Neumann series using successive approximations. Based on available statistical data, a quadratic functional describing the deviation between theoretical and observed displacements is constructed. The unknown fractional order is then identified through the minimization of this functional. An efficient computational algorithm for estimating the fractional order is proposed, and its performance is illustrated by a numerical example. The obtained results demonstrate that the identified fractional order satisfies the first-order optimality condition, with the first variation of the quadratic functional approaching zero with an accuracy of 10 - 8 {10^{-8}} , thereby confirming the effectiveness and high numerical accuracy of the proposed approach.

Authors

Institutions

Publication Details

Journal
Journal of Inverse and Ill-Posed Problems
Published
2026-08-25
DOI
https://doi.org/10.1515/jiip-2026-0008
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Inverse problem for determining the fractional order in oscillatory systems by moving mass coordinates

N.S. Hajiyeva, Nihan Aliev, Fikret A. Aliev, Irade V. Alieva et al.
Journal of Inverse and Ill-Posed Problems
Fractional Differential Equations Solutions
article

Inverse problem for determining the fractional order in oscillatory systems by moving mass coordinates

N.S. Hajiyeva, Nihan Aliev, Fikret A. Aliev, Irade V. Alieva, Menzer A. Mammadova
article en

Abstract

Abstract This paper addresses an inverse problem for determining the fractional order of an oscillatory system operating in a Newtonian fluid. The governing fractional differential equation is first transformed into a Volterra integral equation of the second kind with respect to the displacement of the mass coordinate. Subsequently, the solution of the resulting integral equation is represented in the form of a Neumann series using successive approximations. Based on available statistical data, a quadratic functional describing the deviation between theoretical and observed displacements is constructed. The unknown fractional order is then identified through the minimization of this functional. An efficient computational algorithm for estimating the fractional order is proposed, and its performance is illustrated by a numerical example. The obtained results demonstrate that the identified fractional order satisfies the first-order optimality condition, with the first variation of the quadratic functional approaching zero with an accuracy of 10 - 8 {10^{-8}} , thereby confirming the effectiveness and high numerical accuracy of the proposed approach.

Journal of Inverse and Ill-Posed Problems
Azerbaijan National Academy of Sciences (AZ), Baku State University (AZ), Azerbaijan Technical University (AZ), Ministry of Science and Education Republic of Azerbaijan (AZ)
Openalex Percentile: Top 11%
Fractional Differential Equations Solutions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Inverse problem for determining the fractional order in oscillatory systems by moving mass coordinates — N.S. Hajiyeva, Nihan Aliev, et al. · Journal of Inverse and Ill-Posed Problems (2026) | TGRS Research Map | TGRS