Abstract
We study how to achieve the state consensus of a whole multi-agent system after adding some new agent groups dynamically in the original multi-agent system. We analyze the feasibility of dynamically adding agent groups under different forms of network topologies that are currently common, and obtain four feasible schemes in theory, including one scheme that is the best in actual industrial production. Then, we carry out dynamic modeling of multi-agent systems for the best scheme. Impulsive control theory and Lyapunov stability theory are used to analyze the conditions so that the whole multi-agent system with dynamic join characteristics can achieve state consensus. Finally, we provide a numerical example to verify the practicality and validity of the theory.
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Project supported by the National Natural Science Foundation of China (No. 61873213), the Chongqing Graduate Research and Innovation Project in 2019, China (No. CYB19175), and the Major Project of Science and Technology Research Program of Chongqing Education Commission of China (No. KJZD-M201900601)
Contributors
Xiang HU designed the research. Xiang HU and Zufan ZHANG processed the data. Xiang HU drafted the manuscript. Chuandong LI helped organize the manuscript and provided important guidance in the theoretical derivation and experimental design. Xiang HU and Chuandong LI revised and finalized the paper.
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Xiang HU, Zufan ZHANG, and Chuandong LI declare that they have no conflict of interest.
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Hu, X., Zhang, Z. & Li, C. Consensus of multi-agent systems with dynamic join characteristics under impulsive control. Front Inform Technol Electron Eng 22, 120–133 (2021). https://doi.org/10.1631/FITEE.2000062
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DOI: https://doi.org/10.1631/FITEE.2000062