This article proposes a gradient descent (GD) algorithm-based B-spline wavelet neural
network (GDBSWNN) learning adaptive controller for linear motor (LM) systems under …

In gantry systems, load usually moves according to different production tasks. The
continuous change of the beam centroid position is a non-negligible factor for achieving …

Repetitive position control of the motor-driven servo system (MDSS) plays an important role
in numerous industrial processing and production. In this article, based on the Euler …

This paper develops an event-triggered fault-tolerant tracking strategy for block-triangular
MIMO uncertain nonlinear systems with sensors and actuators polluting by …

This paper presents an application of an actor-critic reinforcement learning (RL) algorithm-
based adaptive proportional-integral-derivative (PID) controller for automatic generation …

This paper deals with the synchronization for semi-Markovian jump neural networks (S-
MJNNs) with DoS attacks and adaptive event-triggered protocol. Aiming at reducing some …

As an important part of the motion system in high-end manufacturing equipment, dual-drive
gantry stage urgently requires higher performance. Planar rapid positioning is a classical …

In this article, an adaptive iterative learning constrained control method of a linear-motor-
driven gantry stage is proposed, which synthetically solves the problems of practical state …

This paper proposes a novel neural network-based robust adaptive synchronization and
tracking control strategy for multi-motor driving servo systems. By designing a hyperbolic …

In this study, the data-driven sliding-mode iterative learning tracking control problem of a
piezoelectric-actuated micro-positioning (PAMP) stage is investigated. To improve the …