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 …
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
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 …
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 …
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
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 …
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 …
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
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 …
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
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 …
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
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 …
constraints, an adaptive neural network control method is investigated in this paper. The …
Observer-based adaptive sliding mode control for nonlinear Markovian jump systems
This paper investigates the adaptive sliding mode control problem of nonlinear Markovian
jump systems (MJSs) with partly unknown transition probabilities. The system state …
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 …
sort of underactuated surface vehicle under model uncertainties and environmental …