Abstract

The main purpose is to develop novel analytical techniques and provide a comprehensive qualitative analysis of global dynamics for a state-dependent feedback control system arising from biological applications including integrated pest management. The model considered consists of a planar system of differential equations with state-dependent impulsive control. We characterize the impulsive and phase sets, using the phase portraits of the planar system and the Lambert W function to define the Poincare map for impulsive point series defined in the phase set. The existence, local and global stability of an order-1 limit cycle and obtain sharp sufficient conditions for the global stability of the boundary order-1 limit cycle have been provided. We further examine the flip bifurcation related to the existence of an order-2 limit cycle. We show that the existence of an order-2 limit cycle implies the existence of an order-1 limit cycle. We derive sufficient conditions under which any trajectory initiating from a phase set will be free from impulsive effects after finite state-dependent feedback control actions, and we also prove that order-k ( $k\geq3$ ) limit cycles do not exist, providing a solution to an open problem in the integrated pest management community. We then investigate multiple attractors and their basins of attraction, as well as the interior structure of a horseshoe-like attractor. We also discuss implications of the global dynamics for integrated pest management strategy. The analytical techniques and qualitative methods developed in the present paper could be widely used in many fields concerning state-dependent feedback control.

Highlights

  • 1 Introduction This study concerns the global dynamics of semi-dynamical systems with state-dependent feedback arising from modeling integrated pest management (IPM) [ – ]

  • Before we provide the formula for the Poincaré map of model ( . ), we want to show how the phase sets change as the key parameters (i.e. θ, VL, and τ ) vary

  • 12 Discussion In order to describe the human actions for real word applications such as pest or virus control and disease treatment, impulsive semi-dynamic systems can be used, which can provide a natural description for threshold control strategies

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Summary

Introduction

This study concerns the global dynamics of semi-dynamical systems with state-dependent feedback arising from modeling integrated pest management (IPM) [ – ]. The challenge for the study of the system’s global dynamics is due to the state-dependent impulsive control. Impulsive semi-dynamical systems arise from many important applications in the life sciences including population dynamics (biological resource and pest management programs, and chemostat cultures) [ – ], virus dynamics (HIV) [ – ], medicine and pharmacokinetics (diabetes mellitus and tumor control) [ – ], epidemiology (vaccination strategies, the control of epidemics and plant epidemiology) [ – ], and neuroscience. Impulsive differential equations with state-dependent feedback control have to be used to model densitydependent control strategies [ , , , , , ]. Feedback control strategies have been applied in different fields in quite different ways [ – ]

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