In this article, the exponential stability of impulsive control systems with time delay is studied.
By using the average impulsive interval method, some sufficient Lyapunov-based conditions …

In recent years, cellular neural networks (CNNs) have become a popular apparatus for
simulations in neuroscience, biology, medicine, computer sciences and engineering. In …

This article investigates the event-triggered impulsive control (ETIC) problem for a class of
nonlinear time-delay systems subject to exogenous disturbances. An original event …

Chemotherapy optimization based on mathematical models is a promising direction of
personalized medicine. Personalizing, thus optimizing treatments, may have multiple …

Nowadays clinical therapies in chemotherapy sessions are generalized for patients,
therefore we are working to provide a personalized drug plan to help reduce the drug …

Traditional randomized clinical trials are regarded as the gold standard for assessing the
efficacy of chemotherapy. However, this procedure has drawbacks such as high cost, time …

Optimizing computer-generated therapy may be one of the most promising tools for future
medical treatments. In silico experiments are crucial for therapy planning and testing, this …

This article deals with the adaptive consensus control problem for second-order nonlinear
multi-agent systems under intermittent communications. The main contribution is that a novel …

The paper deals with the global asymptotic stability of general nonlinear time-delay systems
with delay-dependent impulses through the Lyapunov–Krasovskii method. We derive a …

The application of the achievements of mathematics and informatics greatly helped the
development of medicine. Designing personalized therapies using different algorithms is …