Distributed Model Predictive Consensus of MASs Against False Data Injection Attacks and Denial-of-Service Attacks-Reference-Cited by-同舟云学术

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Distributed Model Predictive Consensus of MASs Against False Data Injection Attacks and Denial-of-Service Attacks

Published:2024-08 Issue:8 Volume:69 Page:5538-5545
ISSN:0018-9286
Container-title:IEEE Transactions on Automatic Control
language:
Short-container-title:IEEE Trans. Automat. Contr.

Author:

Li Zhengcai¹^ORCID,Shi Yang²^ORCID,Xu Shengyuan³^ORCID,Xu Huiling¹^ORCID,Dong Lewei¹^ORCID

Affiliation:

1. School of Mathematics & Statistics, Nanjing University of Science and Technology, Nanjing, China

2. Department of Mechanical Engineering, University of Victoria, Victoria, BC, Canada

3. School of Automation, Nanjing University of Science and Technology, Nanjing, China

Funder

National Natural Science Foundation of China

Postgraduate Research and Practice Innovation Program of Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/9/10614334/10453953.pdf?arnumber=10453953

Reference23 articles.

1. Intelligent Leader-Following Consensus Formation Control Using Recurrent Neural Networks for Small-Size Unmanned Helicopters

2. Connectivity-maintaining and collision-avoiding performance function approach for robust leader–follower formation control of multiple uncertain underactuated surface vessels

3. Resilient Flocking for Mobile Robot Teams

4. Resilient Asymptotic Consensus in Robust Networks

5. Tracking Control of Networked Multi-Agent Systems Under New Characterizations of Impulses and Its Applications in Robotic Systems

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