This paper focuses on the output-feedback sliding mode controller design problem for
uncertain continuous-time semi-Markovian jump systems (MJSs) in a descriptor system …

Continuous-time semi-Markovian jump neural networks (semi-MJNNs) are those MJNNs
whose transition rates are not constant but depend on the random sojourn time. Addressing …

In this paper, the issues of stability and stabilization for a class of discrete-time hidden semi-
Markov jump linear systems (HS-MJLSs) are addressed. A stabilizing controller dependent …

This work presents a brief overview of Markov models in cancer screening evaluation and
focuses on two specific models. A three-state model was first proposed to estimate jointly the …

This paper investigates the problem of delay-dependent H∞ memory filtering for continuous-
time semi-Markovian jump linear systems (MJLSs) with time-varying delay in an input-output …

This book aims to give a complete and self-contained presentation of semi-Markov models
with finitely many states, in view of solving real life problems of risk management in three …

This paper is concerned with stochastic stabilization problem for networked semi-Markovian
jump systems with randomly occurring uncertainties and nonlinearities under event …

In this paper, exponential synchronization of semi-Markovian coupled neural networks
(NNs) with bounded time-varying delay and infinite-time distributed delay (mixed delays) is …

Many real systems involve not only parameter changes but also sudden variations in
environmental conditions, which often causes unpredictable topologies switching. This …

This paper is concerned with the global synchronization in fixed time for semi-Markovian
switching complex dynamical networks with hybrid couplings and time-varying delays in the …