Omics-based approaches have become increasingly influential in identifying disease
mechanisms and drug responses. Considering that diseases and drug responses are co …

Bioresponsive hydrogels are emerging with technological significance in targeted drug
delivery, biosensors, and regenerative medicine. Their ability to respond to specific …

In this note, we study the stabilization problem of positive switched linear system (PSLS) with
disturbance. By introducing a class of weak common linear copositive Lyapunov functions …

In this paper, a model predictive control system for the depth of hypnosis is proposed and
analyzed. This approach considers simultaneous co-administration of the hypnotic and …

By introducing a class of weak switched linear copositive Lyapunov functions, this paper
designs new time-dependent switching signals guaranteeing asymptotic stability of discrete …

This brief presents new modeling and identification strategies to address many difficulties in
the identification of anesthesia dynamics. The most commonly used models for the effect of …

We present a connection between the viability kernel and maximal reachable sets. Current
numerical schemes that compute the viability kernel suffer from a complexity that is …

In this paper we present a new model predictive control system for the depth of hypnosis in
general anesthesia. The depth of hypnosis is measured by the Bispectral Index Scale signal …

This paper discusses a possibility to simplify the number of parameters in the Hill curve by
exploiting special mathematical functions. This simplification is relevant when adaptation is …

This paper aims at the problem of exponential stability for switched linear impulsive time-
varying system. By constructing two different switched discretized Lyapunov functions, some …