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Broad-Learning-System-Based Model-Free Adaptive Predictive Control for Nonlinear MASs Under DoS Attacks

Hongxing Xiong Guangdeng Chen Hongru Ren Hongyi Li

自动化学报（英文版）2025，Vol.12Issue(2)：381-393,13.

自动化学报（英文版）2025，Vol.12Issue(2)：381-393,13.DOI:10.1109/JAS.2024.124929

Broad-Learning-System-Based Model-Free Adaptive Predictive Control for Nonlinear MASs Under DoS Attacks

Hongxing Xiong ¹Guangdeng Chen ²Hongru Ren ¹Hongyi Li²

作者信息

1. School of Automation,Guangdong-Hong Kong Joint Laboratory for Intelligent Decision and Cooperative Control||Guangdong Provincial Key Laboratory for Intelligent Decision and Cooperative Control,Guangdong University of Technology,Guangzhou 510006,China
2. College of Electronic and Information Engineering,Southwest University,Chongqing 400715,China
折叠

摘要

关键词

Broad learning technique/denial-of-service(DoS)/model-free adaptive predictive control(MFAPC)/nonlinear multi-agent systems(NMASs)

Key words

Broad learning technique/denial-of-service(DoS)/model-free adaptive predictive control(MFAPC)/nonlinear multi-agent systems(NMASs)

引用本文复制引用

Hongxing Xiong,Guangdeng Chen,Hongru Ren,Hongyi Li..Broad-Learning-System-Based Model-Free Adaptive Predictive Control for Nonlinear MASs Under DoS Attacks[J].自动化学报（英文版）,2025,12(2):381-393,13.

基金项目

This work was supported in part by the National Natural Science Foundation of China(62403396,62433018,62373113),the Guangdong Basic and Applied Basic Research Foundation(2023A1515011527,2023B1515120010),and the Postdoctoral Fellowship Program of CPSF(GZB20240621). （62403396,62433018,62373113）

自动化学报（英文版）

ISSN：2329-9266

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