We compare two approaches for a Markovian model in flexible manufacturing systems (FMSs) using Monte Carlo simulation. The model which is a development of Fazlollahtabar and Saidi-Mehrabad (2013), considers two features of automated flexible manufacturing systems equipped with automated guided vehicle (AGV) namely, the reliability of machines and the reliability of AGVs in a multiple AGV jobsho...

This article studies the observer-based integral sliding mode control (ISMC) problem for continuously uncertain neutral semi-Markovian jumping systems with time-varying delays (TDs). Firstly, based on designed state observer, an ISMC method is proposed first time. Then, building appropriate stochastic Lyapunov–Krasovskii functional by taking into account more information about TDs, a novel suff...

A Markovian bridge is a probability measure taken from a disintegration of the law of an initial part of the path of a Markov process given its terminal value. As such, Markovian bridges admit a natural parameterization in terms of the state space of the process. In the context of Feller processes with continuous transition densities, we construct by weak convergence considerations the only ver...

We study a one parameter family of discrete Löwner evolutions driven by a random walk on the real line. We show that it converges to the stochastic Löwner evolution (SLE) under rescaling. We show that the discrete Löwner evolution satisfies Markovian-type and symmetry properties analogous to SLE, and establish a phase transition property for the discrete Löwner evolution when the parameter equa...