Learning-Based Robust Bipartite Consensus Control for a Class of Multiagent Systems

Author:

Zhao Huarong1ORCID,Shan Jinjun2ORCID,Peng Li1,Yu Hongnian3ORCID

Affiliation:

1. Engineering Research Center of Internet of Things Applications Ministry of Education, Jiangnan University, Wuxi, China

2. Department of Earth and Space Science and Engineering, York University, Toronto, ON, Canada

3. School of Engineering and the Built Environment, Edinburgh Napier University, Edinburgh, U.K.

Funder

National Natural Science Foundation of China

Natural Science Research Project of Higher Education in Jiangsu Province

China Scholarship Council

Natural Sciences and Engineering Research Council of Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Data-Driven Bipartite Consensus Control for Multiagent Systems: A Low-Quantity Signal Communication Approach;IEEE Transactions on Industrial Electronics;2024-10

2. Adaptive Consensus Control of Multiagent Systems With an Unstable High-Dimensional Leader and Switching Topologies;IEEE Transactions on Industrial Informatics;2024-09

3. Model-free adaptive bipartite consensus control for unknown heterogeneous nonlinear MASs with different input delays;International Journal of Systems Science;2024-06-28

4. Data-based adaptive predictive bipartite consensus for nonlinear multiagent systems against DoS attacks;Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering;2024-03-27

5. Data-Driven Event-Triggered Formation of MIMO Multiagent Systems With Constrained Information;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2024-01

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