Recurrent neural network-based robust nonsingular sliding mode control with input saturation for a non-holonomic spherical robot
SB Chen, A Beigi, A Yousefpour, F Rajaee… - IEEE …, 2020 - ieeexplore.ieee.org
We develop a new robust control scheme for a non-holonomic spherical robot. To this end,
the mathematical model of a pendulum driven non-holonomic spherical robot is first …
the mathematical model of a pendulum driven non-holonomic spherical robot is first …
A fuzzy neural network-based fractional-order Lyapunov-based robust control strategy for exoskeleton robots: Application in upper-limb rehabilitation
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 …
a fuzzy neural network (FNN) compensator for exoskeleton robotic systems. First, a finite …
A new fuzzy robust control for linear parameter-varying systems
F Chen, X Qiu, KA Alattas, A Mohammadzadeh… - Mathematics, 2022 - mdpi.com
The linear parameter-varying (LPV) models have broad applications in advanced
mathematics and modern control systems. This paper introduces a new method for …
mathematics and modern control systems. This paper introduces a new method for …
3D path following control of an autonomous underwater robotic vehicle using backstepping approach based robust state feedback optimal control law
S Vadapalli, S Mahapatra - Journal of Marine Science and Engineering, 2023 - mdpi.com
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 …
Autonomous Underwater Robotic Vehicle (AURV). The control strategy is developed using a …
Disturbance rejection based on adaptive neural network controller design for underwater robotic vehicle
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 …
controller design for an underwater robot vehicle (URV). The disturbances are caused by …
An experimental study of adaptive bounded depth control for underwater vehicles subject to thruster's dead-zone and saturation
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 …
performs an underwater task such as seabed mapping and underwater docking. This paper …
Design of quasi fuzzy sliding mode based maneuvering of autonomous vehicle
Maneuvering of autonomous vehicles primarily relies on trajectory tracking control
techniques to self-drive at predefined steering angle with parametric uncertainty and …
techniques to self-drive at predefined steering angle with parametric uncertainty and …
Intelligent bounded robust adaptive neural network controller design for fully actuated autonomous underwater vehicles with guaranteed performance using a novel …
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 …
actuated autonomous underwater vehicles (AUVs) in the presence of the saturating …
Robust finite-time convergence control mechanism for high-precision tracking in a hybrid fluid power actuator
QD Hoang, VA Rosas-Cervantes, SG Lee… - IEEE …, 2020 - ieeexplore.ieee.org
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 …
established based on the fundamentals of the fast-terminal sliding mode. This control …
Intelligent fractional-order sliding mode control based maneuvering of an autonomous vehicle
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 …
maneuvering of an autonomous vehicle in the presence of parametric uncertainties and …