Antisaturation fixed-time attitude tracking control based low-computation learning for uncertain quadrotor UAVs with external disturbances
External disturbances, uncertain parameters, asymmetric saturation input, and high
computational burden can significantly damage the attitude tracking control performance of …
computational burden can significantly damage the attitude tracking control performance of …
A novel faster fixed-time adaptive control for robotic systems with input saturation
Z Liu, Y Zhao, O Zhang, W Chen… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In this article, an adaptive antisaturation fixed-time control method with a faster convergence
rate is studied for uncertain robotic systems. First, a new segmental sliding variable is …
rate is studied for uncertain robotic systems. First, a new segmental sliding variable is …
Distributed adaptive fixed-time formation control for UAV-USV heterogeneous multi-agent systems
H Liu, P Weng, X Tian, Q Mai - Ocean Engineering, 2023 - Elsevier
This paper investigates formation trajectory tracking control for heterogeneous multi-agent
systems with external disturbances, model uncertainties and input saturation. The system …
systems with external disturbances, model uncertainties and input saturation. The system …
Event-triggered prescribed performance fuzzy fault-tolerant control for unknown Euler–Lagrange systems with any bounded initial values
This article investigates the tracking problem of event-triggered prescribed performance
fuzzy fault-tolerant control (FTC) for unknown Euler–Lagrange systems with actuator faults …
fuzzy fault-tolerant control (FTC) for unknown Euler–Lagrange systems with actuator faults …
Fixed time adaptive fault tolerant sliding mode control of PEMFC air supply system
Guaranteeing rapid management of oxygen excess ratio (OER) for proton exchange
membrane fuel cells (PEMFC) under load variations is a challenge with practical …
membrane fuel cells (PEMFC) under load variations is a challenge with practical …
Robust adaptive finite-time tracking control for Intervention-AUV with input saturation and output constraints using high-order control barrier function
Abstract The Intervention-Autonomous Vehicle (I-AUV) as the effective operation equipment
in the deep sea is suppressed to the external and physical constraints, which makes it …
in the deep sea is suppressed to the external and physical constraints, which makes it …
Dynamic event-based adaptive fixed-time control for uncertain strict-feedback nonlinear systems with state constraints
G Shen, P Huang, Z Ma, F Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this article, the event-triggered fixed-time tracking control is investigated for uncertain strict-
feedback nonlinear systems involving state constraints. By employing the universal …
feedback nonlinear systems involving state constraints. By employing the universal …
Adaptive prescribed settling time periodic event-triggered control for uncertain robotic manipulators with state constraints
Z Chen, H Zhang, J Liu, Q Wang, J Wang - Neural Networks, 2023 - Elsevier
In this paper, an adaptive prescribed settling time periodic event-triggered control (APST-
PETC) is investigated for uncertain robotic manipulators with state constraints. In order to …
PETC) is investigated for uncertain robotic manipulators with state constraints. In order to …
Adaptive fault tolerant non-singular sliding mode control for robotic manipulators based on fixed-time control law
This paper presents a fault tolerant scheme employing adaptive non-singular fixed-time
terminal sliding mode control (AFxNTSM) for the application of robotic manipulators under …
terminal sliding mode control (AFxNTSM) for the application of robotic manipulators under …
A theoretical framework for end-to-end learning of deep neural networks with applications to robotics
Deep Learning (DL) systems are difficult to analyze and proving convergence of DL
algorithms like backpropagation is an extremely challenging task as it is a highly non …
algorithms like backpropagation is an extremely challenging task as it is a highly non …