On the Convergence of the Approximate Solution to the Optimization Problem for Oscillatory Processes

This article addresses the non-linear optimization problem of oscillatory processes governed by partial integro-differential equations involving a Fredholm integral operator. A distinctive feature of the problem is that both the objective functional and the functions describing external and boundary influences are non-linear with respect to the vector controls. The integro-differential equation describing the state of the oscillatory process includes Fredholm integral operator, which has a significant impact on the structure and properties of the solutions. The algorithm for constructing the complete solution to this problem, as well as the effect of the Fredholm integral operator on the solution of the corresponding boundary value problem, has been published in previous studies. This article is dedicated to the investigation of the convergence of approximate solutions to the exact solution of the considered non-linear optimization problem. The influence of the Fredholm integral operator on the convergence behavior of the approximations is examined. It is demonstrated that the presence of the integral operator necessitates the construction of three distinct types of approximations of the optimal process: “Resolvent” approximations, based on the resolvent of the kernel of the integral operator; Approximations by optimal controls, constructed through the approximation of control functions; Finite-dimensional approximations.

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Publication Details

Journal
BULLETIN OF THE KARAGANDA UNIVERSITY-MATHEMATICS
Published
2025-09-30
DOI
https://doi.org/10.31489/2025m3/22-33
Primary Topic
Differential Equations and Numerical Methods
Type
article
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article

On the Convergence of the Approximate Solution to the Optimization Problem for Oscillatory Processes

T. K. Yuldashev, Elmira Abdyldaeva, Акылбек Керимбеков, Muhammet Kamali̇
BULLETIN OF THE KARAGANDA UNIVERSITY-MATHEMATICS
Differential Equations and Numerical Methods
article

On the Convergence of the Approximate Solution to the Optimization Problem for Oscillatory Processes

T. K. Yuldashev, Elmira Abdyldaeva, Акылбек Керимбеков, Muhammet Kamali̇
article en

Abstract

This article addresses the non-linear optimization problem of oscillatory processes governed by partial integro-differential equations involving a Fredholm integral operator. A distinctive feature of the problem is that both the objective functional and the functions describing external and boundary influences are non-linear with respect to the vector controls. The integro-differential equation describing the state of the oscillatory process includes Fredholm integral operator, which has a significant impact on the structure and properties of the solutions. The algorithm for constructing the complete solution to this problem, as well as the effect of the Fredholm integral operator on the solution of the corresponding boundary value problem, has been published in previous studies. This article is dedicated to the investigation of the convergence of approximate solutions to the exact solution of the considered non-linear optimization problem. The influence of the Fredholm integral operator on the convergence behavior of the approximations is examined. It is demonstrated that the presence of the integral operator necessitates the construction of three distinct types of approximations of the optimal process: “Resolvent” approximations, based on the resolvent of the kernel of the integral operator; Approximations by optimal controls, constructed through the approximation of control functions; Finite-dimensional approximations.

BULLETIN OF THE KARAGANDA UNIVERSITY-MATHEMATICSVol. 119(3)
Tashkent State Transport University (UZ), Kyrgyz-Türkish Manas Üniversity (KG)
Openalex Percentile: Top 61%
Differential Equations and Numerical Methods
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On the Convergence of the Approximate Solution to the Optimization Problem for Oscillatory Processes — T. K. Yuldashev, Elmira Abdyldaeva, et al. · BULLETIN OF THE KARAGANDA UNIVERSITY-MATHEMATICS (2025) | TGRS Research Map | TGRS