Admittance-based controller design for physical human–robot interaction in the constrained task space

W He, C Xue, X Yu, Z Li, C Yang - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this article, an admittance-based controller for physical human-robot interaction (pHRI) is
presented to perform the coordinated operation in the constrained task space. An …

Reinforcement learning control of a flexible two-link manipulator: An experimental investigation

W He, H Gao, C Zhou, C Yang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article discusses the control design and experiment validation of a flexible two-link
manipulator (FTLM) system represented by ordinary differential equations (ODEs). A …

Command filter-based adaptive neural control design for nonstrict-feedback nonlinear systems with multiple actuator constraints

H Wang, S Kang, X Zhao, N Xu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This article proposes an adaptive neural-network command-filtered tracking control scheme
of nonlinear systems with multiple actuator constraints. An equivalent transformation method …

Neural network-based adaptive antiswing control of an underactuated ship-mounted crane with roll motions and input dead zones

T Yang, N Sun, H Chen, Y Fang - IEEE Transactions on Neural …, 2019 - ieeexplore.ieee.org
As a type of indispensable oceanic transportation tools, ship-mounted crane systems are
widely employed to transport cargoes and containers on vessels due to their extraordinary …

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 …

Iterative learning control for a flapping wing micro aerial vehicle under distributed disturbances

W He, T Meng, X He, C Sun - IEEE transactions on cybernetics, 2018 - ieeexplore.ieee.org
This paper addresses a flexible micro aerial vehicle (MAV) under spatiotemporally varying
disturbances, which is composed of a rigid body and two flexible wings. Based on …

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 …

Adaptive fuzzy control for coordinated multiple robots with constraint using impedance learning

L Kong, W He, C Yang, Z Li… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
In this paper, we investigate fuzzy neural network (FNN) control using impedance learning
for coordinated multiple constrained robots carrying a common object in the presence of the …

Adaptive neural control of underactuated surface vessels with prescribed performance guarantees

SL Dai, S He, M Wang, C Yuan - IEEE transactions on neural …, 2018 - ieeexplore.ieee.org
This paper presents adaptive neural tracking control of underactuated surface vessels with
modeling uncertainties and time-varying external disturbances, where the tracking errors …

Human-robot co-carrying using visual and force sensing

X Yu, W He, Q Li, Y Li, B Li - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
In this article, we propose a hybrid framework using visual and force sensing for human-
robot co-carrying tasks. Visual sensing is utilized to obtain human motion and an observer is …