Time-varying IBLFs-based adaptive control of uncertain nonlinear systems with full state constraints

L Liu, T Gao, YJ Liu, S Tong, CLP Chen, L Ma - Automatica, 2021 - Elsevier
This paper presents an adaptive control design for nonlinear systems with time-varying full
state constraints. It is the first time to introduce the novel time-varying Integral Barrier …

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 …

Global output-feedback prescribed performance control of nonlinear systems with unknown virtual control coefficients

JX Zhang, QG Wang, W Ding - IEEE Transactions on Automatic …, 2021 - ieeexplore.ieee.org
This article is concerned with the output-feedback tracking control problem for a class of
nonlinear systems. The challenge lies in how to drive the tracking error to a prescribed …

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 …

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 …

Global adaptive control of switched uncertain nonlinear systems: An improved MDADT method

B Niu, P Zhao, JD Liu, HJ Ma, YJ Liu - Automatica, 2020 - Elsevier
This paper investigates the global adaptive control problem for a class of general switched
uncertain nonlinear systems. By improving the well-known mode-dependent average dwell …

Adaptive NN control using integral barrier Lyapunov functionals for uncertain nonlinear block-triangular constraint systems

YJ Liu, S Tong, CLP Chen, DJ Li - IEEE transactions on …, 2016 - ieeexplore.ieee.org
A neural network (NN) adaptive control design problem is addressed for a class of uncertain
multi-input-multi-output (MIMO) nonlinear systems in block-triangular form. The considered …

Disturbance observer-based adaptive intelligent control of marine vessel with position and heading constraint condition related to desired output

L Liu, Z Li, Y Chen, R Wang - IEEE Transactions on Neural …, 2022 - ieeexplore.ieee.org
This article studies the adaptive control about the geodetic fixed positions and heading of
three-degree-of-freedom dual-propeller vessel. During the navigation of a vessel at sea, due …

Finite-time adaptive fuzzy tracking control for a class of nonlinear systems with full-state constraints

L Zhao, G Liu, J Yu - IEEE Transactions on Fuzzy Systems, 2020 - ieeexplore.ieee.org
In this article, a new command filtered backstepping based finite-time adaptive fuzzy tracking
control scheme for a class of unknown nonlinear systems with full-state constraints is …

A dynamic recurrent neural-network-based adaptive observer for a class of nonlinear systems

YH Kim, FL Lewis, CT Abdallah - Automatica, 1997 - Elsevier
An adaptive observer for a class of single-input single-output (SISO) nonlinear systems is
proposed using a generalized dynamic recurrent neural network (DRNN). The neural …