Autonomous marine vehicles (AMVs) have received considerable attention in the past few
decades, mainly because they play essential roles in broad marine applications such as …

This paper presents a review on the development and application of model predictive
control (MPC) for autonomous intelligent mechatronic systems (AIMS). Starting from the …

In the presence of unknown time-varying disturbances and input saturation, this paper
develops a robust nonlinear control law for the dynamic positioning (DP) system of ships …

This paper reviews model predictive control (MPC) and its wide applications to both single
and multiple autonomous ground vehicles (AGVs). On one hand, MPC is a well-established …

We present a reinforcement learning-based (RL) model predictive control (MPC) method for
trajectory tracking of surface vessels. The proposed method uses an MPC controller in order …

This paper presents a robust nonlinear model predictive control (NMPC) scheme for the
dynamic positioning (DP) ship subject to time-varying environmental disturbances and input …

In this paper, a finite-time observer-based adaptive sliding mode output feedback controller
is developed for dynamic positioning ship while the Coriolis matrix, hydrodynamic nonlinear …

A robust adaptive prescribed performance control (RAPPC) law is proposed for dynamic
positioning (DP) of ships subject to unknown time-varying disturbances with the control input …

This article investigates the event-triggered adaptive fuzzy output feedback setpoint
regulation control for the surface vessels. The vessel velocities are noisy and small in the …

Robust adaptive control is proposed for the dynamic positioning (DP) of ships with unknown
model parameters and unknown time-varying disturbances. Through representing the …