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 …
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 …
and single-output uncertain nonstrict feedback nonlinear systems. For the cases of the states …
Design and optimization technologies of permanent magnet machines and drive systems based on digital twin model
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 …
machinery with cyber–physical systems connectivity. The digital twin (DT) offers a promising …
Adaptive tracking control of uncertain MIMO nonlinear systems with input constraints
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 …
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 …
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
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 …
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 …
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 …
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
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 …
control for a class of stochastic nonlinear systems with nonstrict-feedback structure. To …