Adaptive fault-tolerant tracking control for discrete-time multiagent systems via reinforcement learning algorithm
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 …
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
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 …
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 …
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 …
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 …
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 …
nonstrict-feedback multiagent systems (MASs) against input saturation, unknown …
Adaptive neural self-triggered bipartite fault-tolerant control for nonlinear MASs with dead-zone constraints
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 …
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
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 …
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
This article focuses on the containment control problem for nonlinear multiagent systems
(MASs) with unknown disturbance and prescribed performance in the presence of dead …
(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 …
uncertainties. To enhance tracking accuracy in a robotic manipulator with uncertainties, an …