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Research Article | Open Access

Existence results for hybrid Caputo fractional models for a thermostat with hybrid boundary conditions

Fahad Sameer Alshammari1Mohamed M. A. Metwali1( )Mohammad Esmael Samei2
Department of Mathematics, College of Science and Humanities in Alkharj, Prince Sattam bin Abdulaziz University, Alkharj 11942, Saudi Arabia
Department of Mathematics, Faculty of Science, Bu-Ali Sina University, Hamedan, Iran
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Abstract

In this paper, we study a generalized hybrid fractional thermostat model involving the Caputo fractional derivative and the Riemann–Liouville fractional integral under nonlocal hybrid boundary conditions with feedback control. The problem describes a class of heat regulation systems in which the controller's response depends on both the process's thermal memory and sensor measurements taken at interior points of the domain. Working in the Banach space of integral-type Hölder functions J α , β , we establish sufficient conditions for the existence and uniqueness of solutions to the associated boundary value problem. This functional framework is more suitable than the classical spaces C ( E 0 ) and C α ( E 0 ), since it provides stronger regularity, better stability under fractional integral operators, and improved continuity properties for the nonlinear superposition terms involved in the hybrid structure. Our analysis is based on fractional calculus techniques, an appropriate measure of noncompactness, and Darbo-type fixed-point theorem. The obtained results extend several existing thermostat and hybrid fractional models in the literature. Finally, a numerical example is presented to illustrate and verify the theoretical findings for different values of α and β.

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Electronic Research Archive
Pages 3914-3944

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Cite this article:
Alshammari FS, Metwali MMA, Samei ME. Existence results for hybrid Caputo fractional models for a thermostat with hybrid boundary conditions. Electronic Research Archive, 2026, 34(6): 3914-3944. https://doi.org/10.3934/era.2026176

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Received: 07 March 2026
Revised: 26 April 2026
Accepted: 30 April 2026
Published: 13 May 2026
©2026 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)