This paper presents a novel three-dimension (3-D) underwater trajectory tracking method for
an autonomous underwater vehicle (AUV) using model predictive control (MPC). First, the 6 …

When the autonomous underwater vehicle (AUV) traces the trajectory under complex
hydrological conditions, the real-time performance of system is slow and the accuracy of …

In this paper, a robust finite time trajectory tracking control approach is proposed for
autonomous underwater vehicle (AUV), which belongs to the class of highly nonlinear …

In this paper, a model predictive control (MPC) method based on quantum-behaved particle
swarm optimization (QPSO), combining with sliding mode control (SMC), is studied to solve …

With the advancement of technology, electric equipment and loads have become more
sensitive to problems related to power quality, such as voltage sag, swell, imbalances, and …

Autonomous underwater vehicle (AUV) docking technique attracts attention which leverages
the long-term, on-station vehicle launch and recovery for the underwater missions. In this …

In this paper, a novel time-varying gain extended state observer (ESO)-based moving sliding
mode control method is proposed for anti-sway and positioning control of two-dimensional …

For the autonomous underwater vehicle (AUV) platform, state quantization is a widely
existing phenomenon as the result of I/O signal conversion between hardware module and …

An active research subject in robotics and aeronautics, underactuated mechanical systems
(UMS) have been extensively explored for applications where maintaining stability and …

This paper deals with the design, improvement, and implementation of a nonlinear control
strategy to solve the trajectory tracking problem for an autonomous underwater vehicle …