Barrier Lyapunov functions-based command filtered output feedback control for full-state constrained nonlinear systems

J Yu, L Zhao, H Yu, C Lin - Automatica, 2019 - Elsevier
In this paper, an adaptive output feedback control via command filtered backstepping is
proposed for a class of uncertain nonlinear systems with full-state constraints. Firstly, the …

Adaptive fuzzy tracking control design for SISO uncertain nonstrict feedback nonlinear systems

S Tong, Y Li, S Sui - IEEE Transactions on Fuzzy Systems, 2016 - ieeexplore.ieee.org
This paper investigates an adaptive fuzzy tracking control design problem for single-input
and single-output uncertain nonstrict feedback nonlinear systems. For the cases of the states …

[图书][B] Model free adaptive control

Z Hou, S Jin - 2013 - api.taylorfrancis.com
During the past half century, modern control theory has developed greatly and many
branches and subfields have emerged, for example, linear system theory, optimal control …

Design and optimization technologies of permanent magnet machines and drive systems based on digital twin model

L Liu, Y Guo, W Yin, G Lei, J Zhu - Energies, 2022 - mdpi.com
One of the keys to the success of the fourth industrial revolution (Industry 4.0) is to empower
machinery with cyber–physical systems connectivity. The digital twin (DT) offers a promising …

Adaptive tracking control of uncertain MIMO nonlinear systems with input constraints

M Chen, SS Ge, B Ren - Automatica, 2011 - Elsevier
In this paper, adaptive tracking control is proposed for a class of uncertain multi-input and
multi-output nonlinear systems with non-symmetric input constraints. The auxiliary design …

Adaptive neural networks decentralized FTC design for nonstrict-feedback nonlinear interconnected large-scale systems against actuator faults

Y Li, S Tong - IEEE transactions on neural networks and …, 2016 - ieeexplore.ieee.org
The problem of active fault-tolerant control (FTC) is investigated for the large-scale nonlinear
systems in nonstrict-feedback form. The nonstrict-feedback nonlinear systems considered in …

Robust adaptive neural network control for a class of uncertain MIMO nonlinear systems with input nonlinearities

M Chen, SS Ge, BVE How - IEEE Transactions on Neural …, 2010 - ieeexplore.ieee.org
In this paper, robust adaptive neural network (NN) control is investigated for a general class
of uncertain multiple-input-multiple-output (MIMO) nonlinear systems with unknown control …

Command-filtered-based fuzzy adaptive control design for MIMO-switched nonstrict-feedback nonlinear systems

Y Li, S Tong - IEEE Transactions on Fuzzy Systems, 2016 - ieeexplore.ieee.org
The adaptive fuzzy tracking control design problem for multi-input and multi-output uncertain
switched nonstrict-feedback nonlinear systems with arbitrary switchings is investigated in …

Multivariable adaptive control: A survey

G Tao - Automatica, 2014 - Elsevier
Adaptive control is a control methodology capable of dealing with uncertain systems to
ensure desired control performance. This paper provides an overview of some fundamental …

Neural-based adaptive output-feedback control for a class of nonstrict-feedback stochastic nonlinear systems

H Wang, K Liu, X Liu, B Chen… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
In this paper, we consider the problem of observer-based adaptive neural output-feedback
control for a class of stochastic nonlinear systems with nonstrict-feedback structure. To …