Single parameter adaptive neural network control for multi-agent deployment with prescribed tracking performance
This study addresses the problem of deploying multi-agent systems using single-parameter
adaptive neural network control in time and space where the system is modeled by a …
adaptive neural network control in time and space where the system is modeled by a …
Adaptive neural-network-based fault-tolerant control for a flexible string with composite disturbance observer and input constraints
Z Zhao, Y Ren, C Mu, T Zou… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
We propose an adaptive neural-network-based fault-tolerant control scheme for a flexible
string considering the input constraint, actuator gain fault, and external disturbances. First …
string considering the input constraint, actuator gain fault, and external disturbances. First …
Uncertainty and disturbance estimator-based distributed synchronization control for multiple marine surface vehicles with prescribed performance
The accuracy is of great significance to the synchronization motion of the marine surface
vehicles (MSVs). However, the accuracy is highly affected by the uncertain hydrodynamic …
vehicles (MSVs). However, the accuracy is highly affected by the uncertain hydrodynamic …
Adaptive neural network control of an uncertain 2-DOF helicopter with unknown backlash-like hysteresis and output constraints
An adaptive neural network (NN) control is proposed for an unknown two-degree of freedom
(2-DOF) helicopter system with unknown backlash-like hysteresis and output constraint in …
(2-DOF) helicopter system with unknown backlash-like hysteresis and output constraint in …
Robust adaptive fault-tolerant control for a riser-vessel system with input hysteresis and time-varying output constraints
Recently, with the development of the marine economy, marine risers have garnered
increasing attention as they present facile and reliable methods for oil and gas …
increasing attention as they present facile and reliable methods for oil and gas …
An input dead zones considered adaptive fuzzy control approach for double pendulum cranes with variable rope lengths
M Li, H Chen, R Zhang - IEEE/ASME Transactions on …, 2022 - ieeexplore.ieee.org
As commonly used tools for industrial production, overhead crane systems may suffer from
the double pendulum effect in practice when the hook is not negligible or the payload cannot …
the double pendulum effect in practice when the hook is not negligible or the payload cannot …
Advances in Flexible Robotic Manipulator Systems—Part I: Overview and Dynamics Modeling Methods
Flexible robotic manipulators (FRMs) exhibit advantages over traditional rigid-body
manipulators, including lower energy consumption, faster response, enhanced safety …
manipulators, including lower energy consumption, faster response, enhanced safety …
Adaptive inverse compensation fault-tolerant control for a flexible manipulator with unknown dead-zone and actuator faults
This study presents an adaptive inverse compensation control of a flexible single-link
manipulator with an unknown dead-zone and actuator faults. First, a dead-zone inverse …
manipulator with an unknown dead-zone and actuator faults. First, a dead-zone inverse …
Adaptive fuzzy control for an uncertain axially moving slung-load cable system of a hovering helicopter with actuator fault
This study addresses adaptive fuzzy control for an axially moving slung-load cable system
(AMSLCS) of a helicopter in the presence of an actuator fault, system uncertainty, and …
(AMSLCS) of a helicopter in the presence of an actuator fault, system uncertainty, and …
Distributed neural-based fault-tolerant control of multiple flexible manipulators with input saturations
Y Liu, X Yao, W Zhao - Automatica, 2023 - Elsevier
This paper focuses on a novel fault-tolerant control design for networked flexible
manipulators with actuator failures, input saturations, and external disturbances. Unlike the …
manipulators with actuator failures, input saturations, and external disturbances. Unlike the …