Adaptive finite-time tracking control of full state constrained nonlinear systems with dead-zone
H Li, S Zhao, W He, R Lu - Automatica, 2019 - Elsevier
This paper investigates the problem of adaptive finite-time tracking control for strict-feedback
nonlinear continuous-time systems subject to full state constraints and dead-zone. By …
nonlinear continuous-time systems subject to full state constraints and dead-zone. By …
Adaptive fuzzy practical fixed-time tracking control of nonlinear systems
This article investigates an adaptive practical fixed-time control strategy for the output
tracking control of a class of strict feedback nonlinear systems. By utilizing a backstep** …
tracking control of a class of strict feedback nonlinear systems. By utilizing a backstep** …
Prescribed performance tracking control of time-delay nonlinear systems with output constraints
JX Zhang, KD Xu, QG Wang - IEEE/CAA Journal of Automatica …, 2024 - ieeexplore.ieee.org
The problem of prescribed performance tracking control for unknown time-delay nonlinear
systems subject to output constraints is dealt with in this paper. In contrast with related …
systems subject to output constraints is dealt with in this paper. In contrast with related …
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 …
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 …
Human-in-the-loop consensus control for nonlinear multi-agent systems with actuator faults
G Lin, H Li, H Ma, D Yao, R Lu - IEEE/CAA Journal of …, 2020 - ieeexplore.ieee.org
This paper considers the human-in-the-Ioop leader-following consensus control problem of
multi-agent systems (MASs) with unknown matched nonlinear functions and actuator faults …
multi-agent systems (MASs) with unknown matched nonlinear functions and actuator faults …
Adaptive neural network finite-time output feedback control of quantized nonlinear systems
F Wang, B Chen, C Lin, J Zhang… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
This paper addresses the finite-time tracking issue for nonlinear quantized systems with
unmeasurable states. Compared with the existing researches, the finite-time quantized …
unmeasurable states. Compared with the existing researches, the finite-time quantized …
Neural networks-based adaptive control for nonlinear state constrained systems with input delay
This paper addresses the problem of adaptive tracking control for a class of strict-feedback
nonlinear state constrained systems with input delay. To alleviate the major challenges …
nonlinear state constrained systems with input delay. To alleviate the major challenges …
Control of nonlinear systems under dynamic constraints: A unified barrier function-based approach
Although there are fruitful results on adaptive control of constrained parametric/
nonparametric strict-feedback nonlinear systems, most of them are contingent upon …
nonparametric strict-feedback nonlinear systems, most of them are contingent upon …
NN reinforcement learning adaptive control for a class of nonstrict-feedback discrete-time systems
W Bai, T Li, S Tong - IEEE Transactions on Cybernetics, 2020 - ieeexplore.ieee.org
This article investigates an adaptive reinforcement learning (RL) optimal control design
problem for a class of nonstrict-feedback discrete-time systems. Based on the neural …
problem for a class of nonstrict-feedback discrete-time systems. Based on the neural …