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State‐Dependent Impulsive Control Strategies for a Tumor‐Immune Model

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  • Kwang Su Kim
  • Giphil Cho
  • Lin-Fei Nie
  • Il Hyo Jung

Abstract

Controlling the number of tumor cells leads us to expect more efficient strategies for treatment of tumor. Towards this goal, a tumor‐immune model with state‐dependent impulsive treatments is established. This model may give an efficient treatment schedule to control tumor’s abnormal growth. By using the Poincaré map and analogue of Poincaré criterion, some conditions for the existence and stability of a positive order‐1 periodic solution of this model are obtained. Moreover, we carry out numerical simulations to illustrate the feasibility of our main results and compare fixed‐time impulsive treatment effects with state‐dependent impulsive treatment effects. The results of our simulations say that, in determining optimal treatment timing, the model with state‐dependent impulsive control is more efficient than that with fixed‐time impulsive control.

Suggested Citation

  • Kwang Su Kim & Giphil Cho & Lin-Fei Nie & Il Hyo Jung, 2016. "State‐Dependent Impulsive Control Strategies for a Tumor‐Immune Model," Discrete Dynamics in Nature and Society, John Wiley & Sons, vol. 2016(1).
  • Handle: RePEc:wly:jnddns:v:2016:y:2016:i:1:n:2979414
    DOI: 10.1155/2016/2979414
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    References listed on IDEAS

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    1. Gao, Ting & Wang, Wendi & Liu, Xianning, 2011. "Mathematical analysis of an HIV model with impulsive antiretroviral drug doses," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 82(4), pages 653-665.
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