Fractional-Order Degn–Harrison Reaction–Diffusion Model: Finite-Time Dynamics of Stability and Synchronization

finite-time synchronization Computer Networks and Communications Economics Synchronization 01 natural sciences Mathematical analysis Diffusion Dynamics of Synchronization in Complex Networks Degn–Harrison reaction–diffusion systems 0103 physical sciences Synchronization (alternating current) Machine learning finite-time stability FOS: Mathematics Stability (learning theory) Anomalous Diffusion Modeling and Analysis Order (exchange) Topology (electrical circuits) Lyapunov function Time-Fractional Diffusion Equation Physics Statistical and Nonlinear Physics QA75.5-76.95 Acoustics Applied mathematics Computer science Fractional Derivatives Physics and Astronomy Reaction–diffusion system Combinatorics Electronic computers. Computer science Modeling and Simulation Stochastic Resonance in Nonlinear Systems Computer Science Physical Sciences Thermodynamics Fractional Calculus Statistical physics Reaction-Diffusion Model Mathematics Dynamics (music) Finance
DOI: 10.3390/computation12070144 Publication Date: 2024-07-12T12:47:41Z
ABSTRACT
This study aims to address the topic of finite-time synchronization within a specific subset of fractional-order Degn–Harrison reaction–diffusion systems. To achieve this goal, we begin with the introduction of a novel lemma specific for finite-time stability analysis. Diverging from existing criteria, this lemma represents a significant extension of prior findings, laying the groundwork for subsequent investigations. Building upon this foundation, we proceed to develop efficient dependent linear controllers designed to orchestrate finite-time synchronization. Leveraging the power of a Lyapunov function, we derive new, robust conditions that ensure the attainment of synchronization within a predefined time frame. This innovative approach not only enhances our understanding of finite-time synchronization, but also offers practical solutions for its realization in complex systems. To validate the efficacy and applicability of our proposed methodology, extensive numerical simulations are conducted. Through this comprehensive analysis, we aim to contribute valuable insights to the field of fractional-order reaction–diffusion systems while paving the way for practical implementations in real-world applications.
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