In this article, we provide a review of the consensus control problem for stochastic multi-
agent systems (MASs). Recent advances are surveyed according to the method of …

This paper addresses the dissipative control problem for nonlinear Markovian jump systems
subject to actuator failures and mixed time-delays, where the mixed time-delays consist of …

This paper studies the finite-time stochastic contractive boundedness problem for a class of
Markovian jump linear systems subject to input constraints. First of all, by employing …

The augmented state robust regularized least-squares filter (ASRRLSF) and two-stage
robust regularized least-squares filter (TSRRLSF) are proposed for discrete time-varying …

In this paper, a new robust Kalman filter is proposed for discrete-time time-varying linear
stochastic systems. The system under consideration is subject to stochastic and norm …

Even though driveshaft torsion is a fundamental variable in vehicle dynamics, it is difficult to
be measured or estimated due to the need for high precision encoders or because of …

This study addresses the estimation problem for discrete‐time measurement‐delay systems
with multiplicative noise and Markov jump. First, the state equation is converted into two …

Sensor fusion is a major field in autonomous mobile robots navigation research. These
methods integrate information obtained from accelerometers, rate gyros and monocular …

The problem of robust stochastic stability and delayed‐state‐feedback stabilisation of
uncertain Markovian jump linear systems with random Markov delays is investigated. Based …

In this article, a consensus‐based robust regularized least‐squares filter is designed for
multi‐sensor systems with norm‐bounded uncertainties. In this approach, a min‐max …