Adaptive neural network control for nonstrict-feedback uncertain nonlinear systems with input delay and asymmetric time-varying state constraints
DOI10.1016/J.JFRANKLIN.2021.07.020zbMath1471.93151OpenAlexW3193089700MaRDI QIDQ2230836
Boqiang Cao, Xiaobing Nie, Zhongwen Wu, Changfeng Xue, Cao, Jinde
Publication date: 28 September 2021
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2021.07.020
Feedback control (93B52) Nonlinear systems in control theory (93C10) Control/observation systems with incomplete information (93C41) Adaptive control/observation systems (93C40) Delay control/observation systems (93C43) Networked control (93B70)
Related Items (5)
Cites Work
- Control of nonlinear systems with time-varying output constraints
- Networks and the best approximation property
- Input delay compensation of linear systems with both state and input delays by adding integrators
- Robust finite-time stability of singular nonlinear systems with interval time-varying delay
- Neural networks-based adaptive output feedback control for a class of uncertain nonlinear systems with input delay and disturbances
- Adaptive tracking control for nonlinear time-varying delay systems with full state constraints and unknown control coefficients
- Multistability analysis of competitive neural networks with Gaussian-wavelet-type activation functions and unbounded time-varying delays
- Adaptive fuzzy control for non-strict feedback nonlinear systems with input delay and full state constraints
- Prediction-based control for systems with state and several input delays
- Enhanced adaptive control for a benchmark piezoelectric‐actuated system via fuzzy approximation
- L1 Adaptive fuzzy controller for a class of nonlinear systems with unknown backlash-like hysteresis
This page was built for publication: Adaptive neural network control for nonstrict-feedback uncertain nonlinear systems with input delay and asymmetric time-varying state constraints