This article investigates the neural-network-based adaptive predefined-time tracking control
problem for switched nonlinear systems. Neural networks are employed to approximate the …

Cyber-physical systems have encountered a huge success in the past decade in several
scientific communities, and specifically in production topics. The main attraction of the …

This paper studies the problem of multiple automatic guided vehicles (multi-AGVs)
dispatching in a matrix manufacturing workshop. The goal is to minimize the transportation …

Autonomous guided vehicles (AGVs) are driverless material handling systems used for
transportation of pallets and line side supply of materials to provide flexibility and agility in …

In this paper, decentralized motion planning and scheduling of automated guided vehicles
(AGVs) in a flexible manufacturing system is proposed. A motion planner is combined with a …

In recent years, the automated guided vehicle (AGV) scheduling problem and parallel
machine scheduling problem (PMSP) in workshops have become two hot topics in the field …

This paper proposes a novel formulation for robust predefined-time stabilisation of a class of
second-order systems with matched perturbations. The presented approach allows …

For the navigation problem of differential AGV, its motion model was established, and the
inertial guidance method based on multi-sensor was adopted. The encoder, gyro …

Due to the increasing number of automated guided vehicles (AGVs) in the multi‐AGV system
and the limitation of working environment, path conflicts often occur in the working process …

Positioning systems based on the lateration method utilize distance measurements and the
knowledge of the location of the beacons to estimate the position of the target object …