Adaptive fault-tolerant tracking control for discrete-time multiagent systems via reinforcement learning algorithm

H Li, Y Wu, M Chen - IEEE Transactions on Cybernetics, 2020 - ieeexplore.ieee.org
This article investigates the adaptive fault-tolerant tracking control problem for a class of
discrete-time multiagent systems via a reinforcement learning algorithm. The action neural …

Finite-time-prescribed performance-based adaptive fuzzy control for strict-feedback nonlinear systems with dynamic uncertainty and actuator faults

H Wang, W Bai, X Zhao, PX Liu - IEEE transactions on …, 2021 - ieeexplore.ieee.org
In this article, finite-time-prescribed performance-based adaptive fuzzy control is considered
for a class of strict-feedback systems in the presence of actuator faults and dynamic …

Event-triggered adaptive fuzzy fixed-time tracking control for a class of nonstrict-feedback nonlinear systems

H Wang, K Xu, J Qiu - … Transactions on Circuits and Systems I …, 2021 - ieeexplore.ieee.org
The problem of fuzzy-based adaptive event-triggered tracking control is investigated for a
class of non-strict-feedback nonlinear systems within fixed-time interval in this paper. Fuzzy …

Dynamical modeling and boundary vibration control of a rigid-flexible wing system

W He, T Wang, X He, LJ Yang… - IEEE/ASME transactions …, 2020 - ieeexplore.ieee.org
A boundary control approach is used to control a two-link rigid-flexible wing in this article. Its
design is based on the principle of bionics to improve the mobility and the flexibility of …

Event-triggered consensus control for multi-agent systems against false data-injection attacks

XM Li, Q Zhou, P Li, H Li, R Lu - IEEE transactions on …, 2019 - ieeexplore.ieee.org
In this article, the event-triggered security consensus problem is studied for time-varying
multiagent systems (MASs) against false data-injection attacks (FDIAs) and parameter …

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 …

Adaptive neural self-triggered bipartite fault-tolerant control for nonlinear MASs with dead-zone constraints

F Cheng, H Liang, H Wang, G Zong… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
An adaptive neural bipartite tracking control approach is proposed for nonlinear multi-agent
systems in this article. In contrast to previous results, it is worth noting that this paper …

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 …

Prescribed performance adaptive fuzzy containment control for nonlinear multiagent systems using disturbance observer

W Wang, H Liang, Y Pan, T Li - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article focuses on the containment control problem for nonlinear multiagent systems
(MASs) with unknown disturbance and prescribed performance in the presence of dead …

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 …