[HTML][HTML] Composite adaptation and learning for robot control: A survey

K Guo, Y Pan - Annual Reviews in Control, 2023 - Elsevier
Composite adaptation and learning techniques were initially proposed for improving
parameter convergence in adaptive control and have generated considerable research …

Review on unmanned underwater robotics, structure designs, materials, sensors, actuators, and navigation control

J Neira, C Sequeiros, R Huamani… - Journal of …, 2021 - Wiley Online Library
Since its beginning, around the 50s decade, until present days, the area of unmanned
underwater vehicles (UUV) has considerably grown through time; those have been used for …

Trajectory tracking control for autonomous underwater vehicles based on fuzzy re-planning of a local desired trajectory

X Liu, M Zhang, E Rogers - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
This paper investigates the trajectory tracking control problem for autonomous underwater
vehicles whose initial starting position differs substantially from that specified by the desired …

Sliding mode control with gaussian process regression for underwater robots

GS Lima, S Trimpe, WM Bessa - Journal of Intelligent & Robotic Systems, 2020 - Springer
Sliding mode control is a very effective strategy in dealing not only with parametric
uncertainties, but also with unmodeled dynamics, and therefore has been widely applied to …

Modeling analysis, control, and type-2 fuzzy energy management strategy of hybrid fuel cell-battery-supercapacitor systems

HF Ghavidel, SM Mousavi-G - Journal of Energy Storage, 2022 - Elsevier
In this paper, dynamic modeling analysis and a stable control method are presented for the
hybrid energy storage systems (HESS) including the fuel cell (FC), battery (BA), and a …

Fault-tolerant formation control of nonholonomic robots using fast adaptive gain nonsingular terminal sliding mode control

RR Nair, H Karki, A Shukla, L Behera… - IEEE Systems …, 2018 - ieeexplore.ieee.org
This paper addresses the problem of robust relative motion control in a multirobotic system
using the artificial potential field (APF) method for path planning and fast adaptive gain …

Neural adaptive tracking control for an uncertain robot manipulator with time-varying joint space constraints

HN Rahimi, I Howard, L Cui - Mechanical Systems and Signal Processing, 2018 - Elsevier
This paper presents a control design for a robotic manipulator with uncertainties in both
actuator dynamics and manipulator dynamics subject to asymmetric time-varying joint space …

Observer-based type-2 fuzzy approach for robust control and energy management strategy of hybrid energy storage systems

HF Ghavidel, SM Mousavi-G - International Journal of Hydrogen Energy, 2022 - Elsevier
In this paper, an observer-based type-2 fuzzy method is proposed for control and energy
management strategy (EMS) of the hybrid energy storage system (HESS) which can be …

Attitude controller design for reusable launch vehicles during reentry phase via compound adaptive fuzzy H-infinity control

Q Mao, L Dou, Q Zong, Z Ding - Aerospace Science and Technology, 2018 - Elsevier
In this paper, the attitude control problem of reusable launch vehicles (RLVs) during reentry
phase is investigated by using compound adaptive fuzzy H-infinity control (CAFHC) strategy …

Multilayer neural networks-based control of underwater vehicles with uncertain dynamics and disturbances

K Duan, S Fong, CLP Chen - Nonlinear Dynamics, 2020 - Springer
In the presence of uncertain dynamic terms and external disturbances, the problem of
trajectory tracking with application to an underactuated underwater vehicle is addressed in …