Privacy preserving distributed event-triggered optimisation for multi-agent systems-Reference-Cited by-同舟云学术

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Privacy preserving distributed event-triggered optimisation for multi-agent systems

Published:2024-06-18 Issue: Volume: Page:1-11
ISSN:0020-7721
Container-title:International Journal of Systems Science
language:en
Short-container-title:International Journal of Systems Science

Author:

Zhao Zhongyuan¹²³,Yang Zhiqiang¹,Ji Qiutong⁴

Affiliation:

1. College of Automation, Nanjing University of Information Science and Technology, Nanjing, People's Republic of China

2. Jiangsu Key Laboratory of Big Data Analysis Technology, Nanjing, People's Republic of China

3. Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing, People's Republic of China

4. School of Cyber Science and Engineering, Southeast University, Nanjing People's Republic of China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Postgraduate Research & Practice Innovation Program of Jiangsu Province

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207721.2024.2366415

Reference31 articles.

1. A system-theoretic framework for privacy preservation in continuous-time multiagent dynamics

2. CEASE: A Collaborative Event-Triggered Average-Consensus Sampled-Data Framework With Performance Guarantees for Multi-Agent Systems

3. Coordinated target assignment and intercept for unmanned air vehicles

4. Event-triggered distributed filtering over sensor networks with deception attacks and partial measurements

5. Distributed finite-time economic dispatch of a network of energy resources;Chen G.;IEEE Transactions on Smart Grid,2016

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