This manuscript presents a bibliographic review on fractional-order control laws applied to
robotics manipulators, robot vehicles, man-robot systems, as well as biologically inspired …

During sea missions, underwater vehicles are often exposed to changes in the parameters
of their control systems and subject to external disturbances due to the influences of ocean …

The path tracking problem of underwater robots in different working conditions is studied.
According to the analysis of the control model for underwater robots, a path tracking method …

Aiming to improve the performance of motion for autonomous underwater vehicle (AUV), a
fractional-order PID strategy is proposed. It is a more generalized form for the conventional …

In the last couple of years, academia‐industry collaboration has demonstrated rapid
advancements in the development of self‐driving vehicles. Since it is evident that self …

Abstract Autonomous Underwater Vehicles (AUV) have a significant role in ocean research
and the marine environment with the aim of performing different scientific and commercial …

This paper presents an adaptive neuro-fuzzy-based nonlinear fractional order proportional
integral derivative (ANF-NLFOPID) controller to stabilize six degrees of freedom (6-DOF) …

In this paper, a novel approach for the design of a fractional order proportional integral
derivative (FOPID) controller is proposed. This design introduces a new time-varying FOPID …

One of the main controllers in systems is PID controller, and setting the PID controller values
using test and try is time-consuming and may not be accurate. On the other hand, due to …

Time-varying nonlinear external disturbances, as well as uncertainties in model and
hydrodynamic parameters, make remotely operated vehicles (ROVs) trajectory tracking …