Adaptive-constrained impedance control for human–robot co-transportation

X Yu, B Li, W He, Y Feng, L Cheng… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Human–robot co-transportation allows for a human and a robot to perform an object
transportation task cooperatively on a shared environment. This range of applications raises …

Distributed cooperative compound tracking control for a platoon of vehicles with adaptive NN

Y Liu, D Yao, H Li, R Lu - IEEE Transactions on cybernetics, 2021 - ieeexplore.ieee.org
This article focuses on the distributed cooperative compound tracking issue of the vehicular
platoon. First, a definition, called compound tracking control, is proposed, which means that …

Event-triggered control for multiagent systems with sensor faults and input saturation

L Cao, H Li, G Dong, R Lu - IEEE Transactions on Systems …, 2019 - ieeexplore.ieee.org
An adaptive neural network (NN) event-triggered control scheme is proposed for nonlinear
nonstrict-feedback multiagent systems (MASs) against input saturation, unknown …

Underwater Internet of Things in smart ocean: System architecture and open issues

T Qiu, Z Zhao, T Zhang, C Chen… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
The development of the smart ocean requires that various features of the ocean be explored
and understood. The Underwater Internet of Things (UIoT), an extension of the Internet of …

Event-triggered adaptive tracking control for multiagent systems with unknown disturbances

Y Zhang, J Sun, H Liang, H Li - IEEE transactions on …, 2018 - ieeexplore.ieee.org
This paper considers the event-triggered tracking control problem of nonlinear multiagent
systems with unknown disturbances. The event-triggering mechanism is considered in the …

Prescribed performance cooperative control for multiagent systems with input quantization

H Liang, Y Zhang, T Huang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This paper studies the quantized cooperative control problem for multiagent systems with
unknown gains in the prescribed performance. Different from the finite-time control, a speed …

Adaptive fuzzy full-state and output-feedback control for uncertain robots with output constraint

X Yu, W He, H Li, J Sun - IEEE Transactions on Systems, Man …, 2020 - ieeexplore.ieee.org
This article focuses on the tracking control issue of robotic systems with dynamic
uncertainties. To enhance tracking accuracy in a robotic manipulator with uncertainties, an …

Adaptive neural-network boundary control for a flexible manipulator with input constraints and model uncertainties

Y Ren, Z Zhao, C Zhang, Q Yang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article develops an adaptive neural-network (NN) boundary control scheme for a
flexible manipulator subject to input constraints, model uncertainties, and external …

GCB-Net: Graph convolutional broad network and its application in emotion recognition

T Zhang, X Wang, X Xu… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In recent years, emotion recognition has become a research focus in the area of artificial
intelligence. Due to its irregular structure, EEG data can be analyzed by applying graphical …

Boundary disturbance observer-based control of a vibrating single-link flexible manipulator

Z Zhao, X He, CK Ahn - IEEE Transactions on Systems, Man …, 2019 - ieeexplore.ieee.org
This paper examines the boundary disturbance observer-based control for a vibrating single-
link flexible manipulator system possessing external disturbances. Two new boundary anti …