Event-triggered based feedback impulse control for the tumor growth model with chemotherapy

This paper presents a novel approach for cancer treatment using the event-triggered impulse control approach. The proposed primarily focuses on adjusting interval of chemotherapy regimen, followed by implementing state feedback to administer flexible dosage based last measurement patient during each interval. In this way, less total dose and shorter tumor eradicated time are achieved as compared similar recent work. Different from other researches, hidden characteristic cells often inhibits immune system’s effective recognition feasibility measurement, we guide in terms our method, providing practical treatment. To ensure effectiveness investigate three theorems Lyapunov stability theorem. Simulation results have verified correctness superiority scheme.