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Adaptive optimal consensus over networked multi-agent systems:a digital signal-driven hybrid iteration approach

Jun Li Jiansong Lu Lianghao Ji Huaqing Li

数字通信与网络（英文）2026，Vol.12Issue(5)：825-835,11.

数字通信与网络（英文）2026，Vol.12Issue(5)：825-835,11.DOI:10.1016/j.dcan.2025.07.010

Adaptive optimal consensus over networked multi-agent systems:a digital signal-driven hybrid iteration approach

Jun Li ¹Jiansong Lu ²Lianghao Ji ²Huaqing Li¹

作者信息

1. Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing,College of Electronic and Information Engineering,Southwest University,Chongqing 400715,China
2. Chongqing Key Laboratory of Image Cognition,Chongqing University of Posts and Telecommunications,Chongqing 400065,China||School of Computer Science and Technology,Chongqing University of Posts and Telecommunications,Chongqing 400065,China
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摘要

关键词

Off-policy/Optimal control/Multi-agent systems/Reinforcement learning/Digital signal processing

Key words

Off-policy/Optimal control/Multi-agent systems/Reinforcement learning/Digital signal processing

引用本文复制引用

Jun Li,Jiansong Lu,Lianghao Ji,Huaqing Li..Adaptive optimal consensus over networked multi-agent systems:a digital signal-driven hybrid iteration approach[J].数字通信与网络（英文）,2026,12(5):825-835,11.

基金项目

This work was supported in part by the National Natural Science Foundation of China under Grant No.62276036,in part by the In-novation and Development Joint Fund Project of Chongqing Natural Science Foundation under Grant No.CSTB2024NSCQ-LZX0118,and in part by the National Natural Science Foundation of China under Grant No.62173278. （）

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