The finite-time event-triggered stabilization is studied for a class of discrete-time nonlinear
Markov jump singularly perturbed models with partially unknown transition probabilities …

Abstract q-rung orthopair fuzzy sets (q-ROFSs) are advantageous for accurately expressing
the preferences of decision-makers (DMs) due to their membership and non-membership …

In recent years, the problems of asynchronous control and filtering for Markov jump systems
(MJSs) have received great research attention from scientific and engineering communities …

The event-triggered sliding-mode control (SMC) for discrete-time networked Markov jumping
systems (MJSs) with channel fading is investigated by means of a genetic algorithm. In order …

This paper aims to develop a safe learning scheme of the USV interception mission. A safe
Lyapunov boundary deep deterministic policy gradient (SLDDPG) algorithm is presented for …

In today's email dependent world, cyber criminals often target organizations using a variety
of social engineering techniques and specially crafted malicious emails. When successful …

In this article, a novel hybrid reinforcement-learning control method is proposed to solve the
adaptive fuzzy control problem of discrete-time nonlinear Markov jump systems based on …

Selecting the optimal renewable energy source (RES) is a complex multi-criteria decision-
making (MCDM) problem due to the association of diverse conflicting criteria with uncertain …

Transfer learning is an excellent approach to deal with the problem that the target domain
label can not be adequately obtained when rolling bearing cross-condition fault detection. A …

This paper focuses on the parameter estimation issues of multivariate equation‐error
autoregressive moving average systems. By applying the gradient search and the multi …