This article proposes a fault-tolerant adaptive multigradient recursive reinforcement learning
(RL) event-triggered tracking control scheme for strict-feedback discrete-time multiagent …

An adaptive neural network (NN) event-triggered control scheme is proposed for nonlinear
nonstrict-feedback multiagent systems (MASs) against input saturation, unknown …

In the field of modern industrial engineering, many mechanical systems are underactuated,
exhibiting strong nonlinear characteristics and high flexibility. However, the lack of control …

This study considers an adaptive neural-network (NN) periodic event-triggered control
(PETC) problem for switched nonlinear systems (SNSs). In the system, only the system …

In this paper, an adaptive fuzzy output feedback control problem is investigated for a class of
stochastic nonlinear systems in which the fuzzy logic systems are adopted to approximate …

In this paper, aiming at a fleet of manned-unmanned surface vehicles (MUSVs), a novel
visual servo swarming (VSS) mechanism is deliberately established by embodying visibility …

This paper examines the adaptive event-triggered fault detection problem of semi-Markovian
jump systems (S-MJSs) with output quantization. First, we develop an adaptive event …

This paper studies the finite-time stabilization of a class of stochastic nonlinear systems.
Different from functions which are necessarily known in the conventional finite-time control of …

In this article, we study the formation tracking control problem for a group of nonholonomic
mobile robots under communication constraints. We use a simple leader–follower formation …

This article investigates the problem of finite-time fuzzy adaptive event-triggered control
design for stochastic nonlinear nonstrict feedback systems with unmodeled dynamics. The …