Practical Exponential Stability of Impulsive Stochastic Food Chain System with Time-Varying Delays
Yuxiao Zhao, Linshan Wang
Abstract
This paper studies the practical exponential stability of an impulsive stochastic food chain system with time-varying delays (ISOFCSs). By constructing an auxiliary system equivalent to the original system and comparison theorem, the existence of global positive solutions to the suggested system is discussed. Moreover, we investigate the sufficient conditions for the exponential stability and practical exponential stability of the system, which is given by Razumikhin technique and the Lyapunov method. In addition, when Razumikhin’s condition holds, the exponential stability and practical exponential stability of species are independent of time delay. Finally, numerical simulation finds the validity of the method.
Topics & Concepts
Exponential stabilityStability (learning theory)Exponential functionMathematicsLyapunov functionApplied mathematicsControl theory (sociology)Computer scienceMathematical analysisPhysicsArtificial intelligenceNonlinear systemControl (management)Machine learningQuantum mechanicsMathematical and Theoretical Epidemiology and Ecology ModelsNonlinear Differential Equations AnalysisFractional Differential Equations Solutions