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Dynamics and Chaos Control for a Discrete-Time Lotka-Volterra Model

Youping Lin, Qamar Din, Muhammad Rafaqat, Abdelalim A. Elsadany, Yanqiu Zeng

2020IEEE Access33 citationsDOIOpen Access PDF

Abstract

Bifurcation theory (center manifold and Ljapunov-Schmidt reduction, normal form theory, universal unfolding, calculation of bifurcation diagrams) has become an important and very useful means in the solution of nonlinear stability problems in many branches of engineering. The present study deals with qualitative behavior of a two-dimensional discrete-time system for interaction between prey and predator. The discrete-time model has more chaotic and rich dynamical behavior as compare to its continuous counterpart. We investigate the qualitative behavior of a discrete-time Lotka-Volterra model with linear functional response for prey. The local asymptotic behavior of equilibria is discussed for discrete-time Lotka-Volterra model. Furthermore, with the help of bifurcation theory and center manifold theorem, explicit parametric conditions for directions and existence of flip and Hopf bifurcations are investigated. Moreover, two chaos control methods, that is, OGY feedback control and hybrid control strategy, are implemented. Numerical simulations are provided to illustrate theoretical discussion and their effectiveness.

Topics & Concepts

Center manifoldBiological applications of bifurcation theoryDiscrete time and continuous timeMathematicsBifurcation diagramParametric statisticsBifurcationApplied mathematicsNonlinear systemControl theory (sociology)ChaoticDynamical systems theoryController (irrigation)Bifurcation theorySaddle-node bifurcationStability (learning theory)Hopf bifurcationComputer scienceControl (management)PhysicsArtificial intelligenceQuantum mechanicsAgronomyBiologyStatisticsMachine learningMathematical and Theoretical Epidemiology and Ecology ModelsAdvanced Differential Equations and Dynamical SystemsFractional Differential Equations Solutions
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