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Adaptive Neural Network-Based Control for a Class of Nonlinear Pure-Feedback Systems With Time-Varying Full State Constraints

Tingting Gao Yan-Jun Liu Lei Liu Dapeng Li

自动化学报（英文版）2018，Vol.5Issue(5)：923-933,11.
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自动化学报（英文版）2018，Vol.5Issue(5)：923-933,11.DOI:10.1109/JAS.2018.7511195

Adaptive Neural Network-Based Control for a Class of Nonlinear Pure-Feedback Systems With Time-Varying Full State Constraints

Adaptive Neural Network-Based Control for a Class of Nonlinear Pure-Feedback Systems With Time-Varying Full State Constraints

Tingting Gao 1Yan-Jun Liu 1Lei Liu 1Dapeng Li2

作者信息

  • 1. College of Science, Liaoning University of Technology, Jinzhou 121000, China
  • 2. School of Electrical Engineering, Liaoning University of Technology, Jinzhou 121001, China
  • 折叠

摘要

关键词

Adaptive control/neural networks (NNs)/non-linear pure-feedback systems/time-varying constraints

Key words

Adaptive control/neural networks (NNs)/non-linear pure-feedback systems/time-varying constraints

引用本文复制引用

Tingting Gao,Yan-Jun Liu,Lei Liu,Dapeng Li..Adaptive Neural Network-Based Control for a Class of Nonlinear Pure-Feedback Systems With Time-Varying Full State Constraints[J].自动化学报（英文版）,2018,5(5):923-933,11.

基金项目

This work was supported in part by the National Natural Science Foundation of China (61622303, 61603164, 61773188), the Program for Liaoning Innovative Research Team in University (LT2016006), the Fundamental Research Funds for the Universities of Liaoning Province (JZL201715402), and the Program for Distinguished Professor of Liaoning Province. （61622303, 61603164, 61773188）

自动化学报（英文版）

OACSCDEI

2329-9266

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