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
AUTHORS (7)
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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