Nowadays, neural networks have been widely applied in many fields such as pattern
recognition, signal and image processing and control theory. Over the past two decades or …

A method is presented to analyze the stability of feedback systems with neural network
controllers. Two stability theorems are given to prove asymptotic stability and to compute an …

This paper addresses the shared lateral control between a human driver and a lane kee**
assist system of intelligent vehicles for both lane kee** and obstacle avoidance. This …

This paper is concerned with a new control method for path tracking of autonomous ground
vehicles. We exploit the fuzzy model-based control framework to deal with the time-varying …

This paper investigates the event-triggered synchronization control of discrete-time neural
networks. The main highlights are threefold:(1) a new event-triggered mechanism (ETM) is …

The stabilization problem of a class of nonlinear systems with actuator saturation is
investigated via active disturbance rejection control (ADRC). We first present results for …

This paper investigates the distributed adaptive event-triggered consensus control for a
class of nonlinear agents. Each agent is subject to input saturation. Two kinds of distributed …

This paper investigates the problem of local synchronization of chaotic neural networks with
sampled-data and actuator saturation. A new time-dependent Lyapunov functional is …

Over the past two decades, the synchronization problem for dynamical networks has drawn
significant attention due to its clear practical insight in biological systems, social networks …

This article is concerned with the local stabilization of neural networks (NNs) under
intermittent sampled-data control (ISC) subject to actuator saturation. The issue is presented …