AccScience Publishing / IJOCTA / Online First / DOI: 10.36922/IJOCTA026180074
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RESEARCH ARTICLE

State-feedback control for exponential asymptotic stability of a fractional-order predator–prey model

Iqbal M. Batiha1,2* Osama Oqilat3 Nidal Anakira4 Tala Sasa5 Shaher Momani2,6
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1 Nonlinear Dynamics Research Center (NDRC), Ajman University, Ajman, United Arab Emirates
2 Department of Mathematics, Al Zaytoonah University of Jordan, Amman, Jordan
3 Department of Basic Sciences, Faculty of Arts and Science, Al-Ahliyya Amman University, Amman, Jordan
4 Mathematics Education Program, Faculty of Education and Arts, Sohar University, Sohar, Oman
5 Department of Mathematics, Faculty of Science, Private Applied Science University, Amman, Jordan
6 Department of Mathematics, The University of Jordan, Amman, Jordan
Received: 2 May 2026 | Revised: 11 June 2026 | Accepted: 16 June 2026 | Published online: 8 July 2026
© 2026 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

This paper investigates a fractional-order (FO) predator–prey (PP) model that incorporates a constant proportion of prey refuge, linear (constant-effort) harvesting of the prey, and a generalist predator whose survival is supported by alternative resources. The predator’s consumption is described by a ratiodependent functional response, and long-term memory effects are captured via the Caputo fractional derivative. All equilibria of the system (extinction, preyonly, predator-only, and interior) are explicitly identified, and their existence conditions are derived in terms of model parameters. To counter the destabilizing interplay of strong refuge, harvesting, and fractional memory, a novel state-feedback control strategy is designed using Lyapunov stability theory. We rigorously prove that, under a suitable symmetry condition between control weights, the proposed control functions corresponding to adaptive adjustments of prey harvesting and predator culling or supplementary feeding render the desired interior equilibrium exponentially asymptotically stable (EAS), with explicit exponential convergence rates. Numerical simulations confirm that while the uncontrolled system may drive the predator to extinction under extreme refuge (e.g., 99.995% prey protection), the proposed feedback controller successfully stabilises the prey-only boundary equilibrium, with the error variables and the Lyapunov function (LF) exhibiting strict exponential decay. Quantitative characterisation of the exponential decay rate provides a predictable timeline for ecological recovery. The findings highlight the role of memory in ecological dynamics and provide a biologically interpretable management framework for achieving robust coexistence in heavily perturbed ecosystems.

Keywords
Fractional-order predator–prey model
Caputo derivative
State-feedback control
Exponential asymptotic stability
Lyapunov function
Funding
This work is supported by Ajman University Internal Research Grant No. [DRGS Ref. 2025-IRG-DRG-3].
Conflict of interest
The authors declare that they have no conflict of interest.
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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