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 …

Quantized neural adaptive finite-time preassigned performance control for interconnected nonlinear systems

X Song, P Sun, S Song, V Stojanovic - Neural Computing and Applications, 2023 - Springer
In this article, the issue of neural adaptive decentralized finite-time prescribed performance
(FTPP) control is investigated for interconnected nonlinear time-delay systems. First, to …

Observer‐based adaptive fuzzy hierarchical sliding mode control of uncertain under‐actuated switched nonlinear systems with input quantization

H Zhang, X Zhao, L Zhang, B Niu… - International Journal of …, 2022 - Wiley Online Library
In this article, an observer‐based adaptive fuzzy hierarchical sliding mode control (HSMC)
scheme is put forward for uncertain under‐actuated switched nonlinear systems in the …

Performance recovery-based fuzzy robust control of networked nonlinear systems against actuator fault: A deferred actuator-switching method

S Huang, G Zong, N Zhao, X Zhao, AM Ahmad - Fuzzy Sets and Systems, 2024 - Elsevier
This paper concentrates on the performance recovery-based fuzzy robust control of
networked nonlinear systems via a deferred actuator-switching approach. The main design …

Sliding mode control for networked control systems: A brief survey

W Zhou, Y Wang, Y Liang - ISA transactions, 2022 - Elsevier
In recent years, the control synthesis and analysis of networked control systems (NCSs)
have attracted increasing attention from both industrial and scientific communities, and many …

Command filter adaptive asymptotic tracking of uncertain nonlinear systems with time-varying parameters and disturbances

YX Li - IEEE Transactions on Automatic Control, 2021 - ieeexplore.ieee.org
This article is devoted to the adaptive asymptotic tracking for a class of uncertain nonlinear
systems. The presence of unknown time-varying parameters and uncertain disturbances …

Adaptive neural network finite-time output feedback control of quantized nonlinear systems

F Wang, B Chen, C Lin, J Zhang… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
This paper addresses the finite-time tracking issue for nonlinear quantized systems with
unmeasurable states. Compared with the existing researches, the finite-time quantized …

Dynamic event-triggered control for a class of uncertain strict-feedback systems via an improved adaptive neural networks backstep** approach

N Xu, X Liu, Y Li, G Zong, X Zhao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This article focuses on a dynamic event-triggered adaptive neural networks backstep**
control for a class of uncertain strict-feedback systems with communication constraints. The …

Observer-based event-triggered fuzzy adaptive bipartite containment control of multiagent systems with input quantization

Q Zhou, W Wang, H Liang, MV Basin… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This article studies the bipartite containment control problem for nonlinear multiagent
systems (MASs) with input quantization over a signed digraph. The design objective is to …

Adaptive neural network control of a robotic manipulator with time-varying output constraints

W He, H Huang, SS Ge - IEEE transactions on cybernetics, 2017 - ieeexplore.ieee.org
The control problem of an uncertain n-degrees of freedom robotic manipulator subjected to
time-varying output constraints is investigated in this paper. We describe the rigid robotic …