A New Privacy Preservation Mechanism and a Gain Iterative Disturbance Observer for Multiagent Systems-Reference-Cited by-同舟云学术

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A New Privacy Preservation Mechanism and a Gain Iterative Disturbance Observer for Multiagent Systems

Published:2024-01 Issue:1 Volume:11 Page:392-403
ISSN:2327-4697
Container-title:IEEE Transactions on Network Science and Engineering
language:
Short-container-title:IEEE Trans. Netw. Sci. Eng.

Author:

Wang Min¹^ORCID,Liang Hongjing²^ORCID,Pan Yingnan¹^ORCID,Xie Xiangpeng³^ORCID

Affiliation:

1. College of Control Science and Engineering, Bohai University, Jinzhou, China

2. School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China

3. Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/6488902/10382160/10197220.pdf?arnumber=10197220

Reference33 articles.

1. An AI-Enabled Three-Party Game Framework for Guaranteed Data Privacy in Mobile Edge Crowdsensing of IoT

2. Transaction Throughput Provisioning Technique for Blockchain-Based Industrial IoT Networks

3. Enhancing Privacy and Availability for Data Clustering in Intelligent Electrical Service of IoT

4. Privacy Protection for E-Health Systems by Means of Dynamic Authentication and Three-Factor Key Agreement

5. A Differentially Private Big Data Nonparametric Bayesian Clustering Algorithm in Smart Grid

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