This paper develops an event-triggered adaptive fuzzy control (AFC) scheme for stochastic
nonlinear time-delay systems. With the aid of event-triggered mechanism, the salient …

In this study, the problem of adaptive multi‐dimensional Taylor network (MTN) control for
single‐input single‐output (SISO) uncertain stochastic non‐linear systems is investigated …

This article studies the control problem for a class of stochastic nonlinear time-delay systems
with uncertain output functions. Under the appropriate assumptions, a stabilization controller …

This paper concerns the adaptive state-feedback control for a class of high-order stochastic
nonlinear systems with uncertainties including time-varying delay, unknown control gain …

In this article, a globally adaptive neural-network tracking control strategy based on the
dynamic gain observer is proposed for a class of uncertain output-feedback systems with …

The uncertain delay characteristic of actuators is a critical factor that affects the control
effectiveness of the active suspension system. Therefore, it is crucial to develop a control …

We propose a neural network model for reinforcement learning to control a robotic
manipulator with unknown parameters and dead zones. The model is composed of three …

This paper presents a novel adaptive neural network control strategy for image‐based visual
servoing (IBVS) of robotic manipulators with both eye‐in‐hand and eye‐to‐hand camera …

In this paper, an adaptive perimeter control problem is studied for urban traffic networks with
multiple regions, time-varying state, and input delays. After defining state variables by …

This paper investigates the stabilization problem for upper-triangular nonlinear systems
subject to time-delay by using sampled-data control. In order to make the design process …