Time-varying IBLFs-based adaptive control of uncertain nonlinear systems with full state constraints
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 …
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
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 …
(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
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 …
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
This paper concentrates on the performance recovery-based fuzzy robust control of
networked nonlinear systems via a deferred actuator-switching approach. The main design …
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 …
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 …
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 …
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
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 …
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
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 …
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
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 …
time-varying output constraints is investigated in this paper. We describe the rigid robotic …