A fuzzy-model-based approach is developed to investigate the reinforcement learning-
based optimization for nonlinear Markov jump singularly perturbed systems. As the first …

This paper aims to design an asynchronous state feedback controller for Markov jump time-
delay systems. The highlight of this work lies in that the state feedback is quantized by a …

This paper is concerned with the resilient H∞ filtering problem for a class of discrete-time
Markov jump neural networks (NNs) with time-varying delays, unideal measurements, and …

This paper is concerned with the issues of stability analysis and control synthesis for a class
of discrete-time semi-Markov jump linear systems (S-MJLSs). Motivated by the fact that the …

The air transportation system connects the world through the transport of goods and people.
However, operational inefficiencies such as flight delays and cancellations are prevalent …

The asynchronous sliding mode control (SMC) problem is investigated for networked
Markovian jump Lur'e systems, in which the information of system modes is unavailable to …

This paper is concerned with the stability and stabilization issues for a family of discrete-time
stochastic switching systems with bounded sojourn time. The stochastic switching systems …

This brief presents a control strategy for Markov jump linear systems (MJLS) with no access
to the Markov state (or mode). The controller is assumed to be in the linear state-feedback …

This paper investigates the fault observer design problem for Markovian jump systems with
simultaneous time-varying actuator efficiency factors, additive actuator and sensor faults …

This paper is concerned with the problems of dynamic practical-sliding-mode control (SMC)
and estimation of unknown functions for singular Markovian jump systems (MJSs) with …