Finite-time command filtered backstep** control for a class of nonlinear systems

J Yu, P Shi, L Zhao - Automatica, 2018 - Elsevier
This paper considers the problem of finite-time tracking control for a class of nonlinear
systems. A novel finite-time command filtered backstep** approach is proposed by using …

Fuzzy adaptive finite-time fault-tolerant control for strict-feedback nonlinear systems

K Sun, L Liu, J Qiu, G Feng - IEEE Transactions on Fuzzy …, 2020 - ieeexplore.ieee.org
This article devotes to investigating the issue of fuzzy adaptive control for a class of strict-
feedback nonlinear systems with nonaffine nonlinear faults. The computational complexity is …

Barrier Lyapunov functions for Nussbaum gain adaptive control of full state constrained nonlinear systems

YJ Liu, S Tong - Automatica, 2017 - Elsevier
In this paper, an adaptive controller design is studied for single-input–single-output (SISO)
nonlinear systems with parameter uncertainties and the systems are enforced to subject to …

Adaptive output-feedback control design with prescribed performance for switched nonlinear systems

Y Li, S Tong, L Liu, G Feng - Automatica, 2017 - Elsevier
In this paper, an output feedback control method with prescribed performance is proposed
for single-input and single-output (SISO) switched non-strict-feedback nonlinear systems. It …

Barrier Lyapunov functions-based adaptive control for a class of nonlinear pure-feedback systems with full state constraints

YJ Liu, S Tong - Automatica, 2016 - Elsevier
In this study, an adaptive control technique is developed for a class of uncertain nonlinear
parametric systems. The considered systems can be viewed as a class of nonlinear pure …

Fuzzy approximation based asymptotic tracking control for a class of uncertain switched nonlinear systems

X Zhao, X Wang, L Ma, G Zong - IEEE Transactions on Fuzzy …, 2019 - ieeexplore.ieee.org
The problem of asymptotic tracking control for a class of uncertain switched nonlinear
systems under fuzzy approximation framework is solved in this paper. Superior to most …

Command filter-based adaptive NN control for MIMO nonlinear systems with full-state constraints and actuator hysteresis

J Qiu, K Sun, IJ Rudas, H Gao - IEEE transactions on …, 2019 - ieeexplore.ieee.org
This article studies the issue of adaptive neural network (NN) control for strict-feedback multi-
input and multioutput (MIMO) nonlinear systems with full-state constraints and actuator …

Neural network control-based adaptive learning design for nonlinear systems with full-state constraints

YJ Liu, J Li, S Tong, CLP Chen - IEEE transactions on neural …, 2016 - ieeexplore.ieee.org
In order to stabilize a class of uncertain nonlinear strict-feedback systems with full-state
constraints, an adaptive neural network control method is investigated in this paper. The …

Observer-based adaptive sliding mode control for nonlinear Markovian jump systems

H Li, P Shi, D Yao, L Wu - Automatica, 2016 - Elsevier
This paper investigates the adaptive sliding mode control problem of nonlinear Markovian
jump systems (MJSs) with partly unknown transition probabilities. The system state …

Neural network control of underactuated surface vehicles with prescribed trajectory tracking performance

JX Zhang, T Yang, T Chai - IEEE Transactions on Neural …, 2022 - ieeexplore.ieee.org
This article is concerned with the fast and accurate trajectory tracking control problem for a
sort of underactuated surface vehicle under model uncertainties and environmental …