A Razzaghian - Mathematics and Computers in Simulation, 2022 - Elsevier
The paper investigates a novel fractional-order Lyapunov-based robust controller based on a fuzzy neural network (FNN) compensator for exoskeleton robotic systems. First, a finite …
The linear parameter-varying (LPV) models have broad applications in advanced mathematics and modern control systems. This paper introduces a new method for …
This work renders the design of a robust state feedback optimal control strategy for an Autonomous Underwater Robotic Vehicle (AURV). The control strategy is developed using a …
MW Hasan, NH Abbas - International Journal of Dynamics and Control, 2023 - Springer
This paper presents a disturbance rejection based on an adaptive neural network (DR-ANN) controller design for an underwater robot vehicle (URV). The disturbances are caused by …
C Yu, Y Zhong, L Lian, X Xiang - Applied Ocean Research, 2021 - Elsevier
Accurate depth tracking control is of great importance for an underwater vehicle that performs an underwater task such as seabed mapping and underwater docking. This paper …
Maneuvering of autonomous vehicles primarily relies on trajectory tracking control techniques to self-drive at predefined steering angle with parametric uncertainty and …
O Elhaki, K Shojaei, SJ Sajadian… - Neural Computing and …, 2024 - Springer
In this paper, a novel amplitude-limited reinforcement learning controller is proposed for fully actuated autonomous underwater vehicles (AUVs) in the presence of the saturating …
In this study, a novel multiphase converged control structure with a switching mechanism is established based on the fundamentals of the fast-terminal sliding mode. This control …
This article proposes a new intelligent trajectory tracking control law for the precise maneuvering of an autonomous vehicle in the presence of parametric uncertainties and …