On the continuity of the function describing the times of meeting impulsive set and its application.

The properties of the limit sets of orbits of planar impulsive semi-dynamic system strictly depend on the continuity of the function, which describes the times of meeting impulsive sets. In this note, we will show a more realistic counter example on the continuity of this function which has been proven and widely used in impulsive dynamical system and applied in life sciences including population dynamics and disease control. Further, what extra condition should be added to guarantee the continuity of the function has been addressed generally, and then the applications and shortcomings have been discussed when using the properties of this function.

[1]  R. FitzHugh Impulses and Physiological States in Theoretical Models of Nerve Membrane. , 1961, Biophysical journal.

[2]  Sanyi Tang,et al.  Modelling and analysis of integrated pest management strategy , 2004 .

[3]  Sanyi Tang,et al.  Threshold conditions for integrated pest management models with pesticides that have residual effects , 2013, Journal of mathematical biology.

[4]  B. Shulgin,et al.  Pulse vaccination strategy in the SIR epidemic model , 1998, Bulletin of mathematical biology.

[5]  G. Ermentrout,et al.  Synchrony, stability, and firing patterns in pulse-coupled oscillators , 2002 .

[6]  The existence of viable trajectories in state-dependent impulsive systems , 2010 .

[7]  Márcia Federson,et al.  Limit sets and the Poincare-Bendixson Theorem in impulsive semidynamical systems , 2008 .

[8]  Grzegorz Gabor,et al.  Viable periodic solutions in state-dependent impulsive problems , 2015 .

[9]  Krzysztof Ciesielski On Semicontinuity in Impulsive Dynamical Systems , 2004 .

[10]  Bing Liu,et al.  DYNAMICS ON A HOLLING II PREDATOR–PREY MODEL WITH STATE-DEPENDENT IMPULSIVE CONTROL , 2012 .

[11]  Zvia Agur,et al.  Theoretical examination of the pulse vaccination policy in the SIR epidemic model , 2000 .

[12]  S. Kaul,et al.  On impulsive semidynamical systems , 1990 .

[13]  Sanyi Tang,et al.  Integrated pest management models and their dynamical behaviour , 2005, Bulletin of mathematical biology.

[14]  Sanyi Tang,et al.  Global dynamics of a state-dependent feedback control system , 2015, Advances in Difference Equations.

[15]  Lin Hu,et al.  The Dynamics of a Chemostat Model with State Dependent impulsive Effects , 2011, Int. J. Bifurc. Chaos.

[16]  J. Panetta,et al.  A mathematical model of periodically pulsed chemotherapy: tumor recurrence and metastasis in a competitive environment. , 1996, Bulletin of mathematical biology.

[17]  Sanyi Tang,et al.  Greenwich Academic Literature Archive (gala) Analytical Methods for Detecting Pesticide Switches with Evolution of Pesticide Resistance , 2022 .

[18]  G. Ermentrout,et al.  Multiple pulse interactions and averaging in systems of coupled neural oscillators , 1991 .

[19]  Lansun Chen,et al.  Nonlinear modelling of a synchronized chemostat with impulsive state feedback control , 2010, Math. Comput. Model..

[20]  Sanyi Tang,et al.  State-dependent impulsive models of integrated pest management (IPM) strategies and their dynamic consequences , 2005, Journal of mathematical biology.

[21]  Sanyi Tang,et al.  Optimum timing for integrated pest management: modelling rates of pesticide application and natural enemy releases. , 2010, Journal of theoretical biology.

[22]  Sanyi Tang,et al.  Holling II predator–prey impulsive semi-dynamic model with complex Poincaré map , 2015 .

[23]  Sanyi Tang,et al.  Models for integrated pest control and their biological implications. , 2008, Mathematical biosciences.

[24]  Xinyu Song,et al.  Modeling Impulsive Injections of Insulin: Towards Artificial Pancreas , 2012, SIAM J. Appl. Math..