Intelligent Event-Triggered Control Supervised by Mini-Batch Machine Learning and Data Compression Mechanism for T-S Fuzzy NCSs Under DoS Attacks-Reference-Cited by-同舟云学术

Intelligent Event-Triggered Control Supervised by Mini-Batch Machine Learning and Data Compression Mechanism for T-S Fuzzy NCSs Under DoS Attacks

Author:

Cai Xiao¹^ORCID,Shi Kaibo²^ORCID,Sun Yanbin¹^ORCID,Cao Jinde³^ORCID,Wen Shiping⁴^ORCID,Tian Zhihong¹^ORCID

Affiliation:

1. Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China

2. School of Electronic Information and Electrical Engineering, Chengdu University, Chengdu, Sichuan, China

3. School of Mathematics, Southeast University, Nanjing, China

4. Faculty of Engineering and Information Technology, Australian AI Institute, University of Technology Sydney, Ultimo, NSW, Australia

Funder

National Key Research and Development Plan

National Natural Science Foundation of China

Sichuan Science and Technology Program

Project funded by China Postdoctoral Science Foundation

Guangdong Basic and Applied Basic Research Foundation

Guangdong Province Universities and Colleges Pearl River Scholar Funded Scheme

Guangdong Higher Education Innovation Group

Guangzhou Higher Education Innovation Group

Consulting project of Chinese Academy of Engineering

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Control and Systems Engineering

Link

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