AccScience Publishing / IJOCTA / Volume 15 / Issue 2 / DOI: 10.36922/ijocta.1689
RESEARCH ARTICLE

An investigation on the optimality condition of Caputo fractional time delay system

Sanjukta Das*
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1 Department of Mathematics, Mahindra University, India
IJOCTA 2025, 15(2), 167–177; https://doi.org/10.36922/ijocta.1689
Received: 17 November 2024 | Accepted: 12 March 2025 | Published online: 28 April 2025
© 2025 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract

Optimal control problem of a Caputo fractional state-dependent delay system is discussed in this paper. Both Dirichlet and Neumann fractional optimal control problems are studied. Using a linear continuous operator, the delay system is converted to an equivalent system not involving explicit delay term. The existing results for the unique solution of the fractional system associated with the optimal control problem are attained by the application of Lax-Milgram Theorem. Optimality conditions, both necessary and sufficient for the fractional Dirichlet and Neumann problems with the quadratic objective function, are obtained. Interpreting the first-order optimality condition of Euler-Lagrange along with the corresponding adjoint system involving the right Caputo derivative, the optimality system is derived. Initially, the first-order Euler-Lagrange optimality condition is used along with the corresponding adjoint system to derive the optimality system. Subsequently, adjoint equations and Hamiltonian maximization conditions are derived using duality and variational analysis.

Keywords
Optimal control
State dependent delay
Dirichlet & Neumann conditions
Caputo fractional derivative
Funding
This work has financial support of Farhangian University (Contract No. 500.17474.120).
Conflict of interest
The author declare that they have no conflict of interest regarding the publication of this article.
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An International Journal of Optimization and Control: Theories & Applications, Electronic ISSN: 2146-5703 Print ISSN: 2146-0957, Published by AccScience Publishing