Owing to the competitive advantages of fast response speed, large pushing force, high
reliability, and high precision, the permanent magnet linear synchronous motor (PMLSM) …

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

This study focuses on the design of a fixed-time disturbance observer-based robust fault-
tolerant tracking control scheme for an uncertain quadrotor unmanned aerial vehicle (UAV) …

This article's primary motivation is to propose a nonsingular and continuous terminal sliding-
mode (TSM) control with reduced chattering, which is able to rapidly stabilize the second …

This article focuses on the fast position tracking problem for the permanent magnet linear
motor (PMLM) system under a chattering-reduced sliding mode control signal. To this end, a …

Disturbances of the permanent magnet synchronous motor (PMSM) drive system are usually
observed and fully compensated to improve the robustness in existing two-degrees-of …

In order to realize the high-speed and high-precision movement of the direct drive system, it
is important to study the strong robust control strategy of permanent magnet linear …

In this article, we propose the fuzzy event-triggered super twisting sliding mode control
(STSMC) approach for improving the position tracking performance and reducing the …

A permanent magnet linear synchronous motor (PMLSM) control strategy based on
improved neural networks is proposed for the problem of inaccurate decoupling and poor …

Nowadays, the realization of obstacle avoidance for robot manipulators are generally based
on offline path planning, which may be insufficient for real-time dynamic obstacle avoidance …