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Neural-Network-Based Control for Discrete-Time Nonlinear Systems with Input Saturation Under Stochastic Communication Protocol

Xueli Wang Derui Ding Hongli Dong Xian-Ming Zhang

自动化学报（英文版）2021，Vol.8Issue(4)：766-778,13.

自动化学报（英文版）2021，Vol.8Issue(4)：766-778,13.DOI:10.1109/JAS.2021.1003922

Neural-Network-Based Control for Discrete-Time Nonlinear Systems with Input Saturation Under Stochastic Communication Protocol

Xueli Wang ¹Derui Ding ²Hongli Dong ³Xian-Ming Zhang²

作者信息

1. Department of Control Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
2. School of Software and Electrical Engineering, Swinburne University of Technology, Melbourne 3122, Victoria, Australia
3. Institute of Complex Systems and Advanced Control, Northeast Petroleum University, Daqing 163318, China
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摘要

关键词

Adaptive dynamic programming (ADP)/constrained inputs/neural network (NN)/stochastic communication protocols (SCPs)/suboptimal control

Key words

Adaptive dynamic programming (ADP)/constrained inputs/neural network (NN)/stochastic communication protocols (SCPs)/suboptimal control

引用本文复制引用

Xueli Wang,Derui Ding,Hongli Dong,Xian-Ming Zhang..Neural-Network-Based Control for Discrete-Time Nonlinear Systems with Input Saturation Under Stochastic Communication Protocol[J].自动化学报（英文版）,2021,8(4):766-778,13.

基金项目

This work was supported in part by the Australian Research Council Discovery Early Career Researcher Award(DE200101128),and Australian Research Council(DP190101557).Recommended by Associate Editor Hongyi Li.(Corresponding author:Derui Ding.) （DE200101128）

自动化学报（英文版）

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ISSN：2329-9266

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