[HTML][HTML] Review of research and development of supernumerary robotic limbs
Y Tong, J Liu - IEEE/CAA Journal of Automatica Sinica, 2021 - ieee-jas.net
Supernumerary robotic limbs (SRLs) are a new type of wearable human auxiliary
equipment, which is currently a hot research topic in the world. SRLs have broad …
equipment, which is currently a hot research topic in the world. SRLs have broad …
Time-varying IBLFs-based adaptive control of uncertain nonlinear systems with full state constraints
This paper presents an adaptive control design for nonlinear systems with time-varying full
state constraints. It is the first time to introduce the novel time-varying Integral Barrier …
state constraints. It is the first time to introduce the novel time-varying Integral Barrier …
Distributed model-free adaptive control for learning nonlinear MASs under DoS attacks
This article addresses the distributed model-free adaptive control (DMFAC) problem for
learning nonlinear multiagent systems (MASs) subjected to denial-of-service (DoS) attacks …
learning nonlinear multiagent systems (MASs) subjected to denial-of-service (DoS) attacks …
Event-triggered fuzzy bipartite tracking control for network systems based on distributed reduced-order observers
H Liang, X Guo, Y Pan, T Huang - IEEE Transactions on Fuzzy …, 2020 - ieeexplore.ieee.org
This article studies the distributed observer-based event-triggered bipartite tracking control
problem for stochastic nonlinear multiagent systems with input saturation. First, different from …
problem for stochastic nonlinear multiagent systems with input saturation. First, different from …
Neural network based adaptive event trigger control for a class of electromagnetic suspension systems
In this paper, a neural network (NN) based event trigger control problem of electromagnetic
active suspension system is solved. Due to the limitation of vehicle communication …
active suspension system is solved. Due to the limitation of vehicle communication …
Command filter-based adaptive neural finite-time control for stochastic nonlinear systems with time-varying full-state constraints and asymmetric input saturation
This article studies a tracking control problem for a class of stochastic nonlinear systems with
time-varying full-state constraints and asymmetric input saturation. Firstly, the Gauss Error …
time-varying full-state constraints and asymmetric input saturation. Firstly, the Gauss Error …
Neuroadaptive performance guaranteed control for multiagent systems with power integrators and unknown measurement sensitivity
H Liang, Z Du, T Huang, Y Pan - IEEE Transactions on Neural …, 2022 - ieeexplore.ieee.org
This article investigates the adaptive performance guaranteed tracking control problem for
multiagent systems (MASs) with power integrators and measurement sensitivity. Different …
multiagent systems (MASs) with power integrators and measurement sensitivity. Different …
Event-based adaptive fixed-time fuzzy control for active vehicle suspension systems with time-varying displacement constraint
T Jia, Y Pan, H Liang, HK Lam - IEEE Transactions on Fuzzy …, 2021 - ieeexplore.ieee.org
This article addresses the fixed-time control problem for the constrained quarter active
vehicle suspension systems (AVSSs) via an event-triggered based adaptive fuzzy fixed-time …
vehicle suspension systems (AVSSs) via an event-triggered based adaptive fuzzy fixed-time …
Disturbance observer-based adaptive fuzzy control for strict-feedback nonlinear systems with finite-time prescribed performance
This article studies the disturbance observer-based adaptive fuzzy finite-time control issue of
strict-feedback nonlinear systems. Specifically, to meet practical application requirement, the …
strict-feedback nonlinear systems. Specifically, to meet practical application requirement, the …
Robust actor–critic learning for continuous-time nonlinear systems with unmodeled dynamics
This article considers the robust optimal control problem for a class of nonlinear systems in
the presence of unmodeled dynamics. An adaptive optimal controller is designed using the …
the presence of unmodeled dynamics. An adaptive optimal controller is designed using the …