Two-Layer Reinforcement Learning for Output Consensus of Multiagent Systems Under Switching Topology-Reference-Cited by-同舟云学术

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Two-Layer Reinforcement Learning for Output Consensus of Multiagent Systems Under Switching Topology

Published:2024-09 Issue:9 Volume:54 Page:5463-5472
ISSN:2168-2267
Container-title:IEEE Transactions on Cybernetics
language:
Short-container-title:IEEE Trans. Cybern.

Author:

Wang Zhanshan¹^ORCID,Liu Yingying²,Zhang Huaguang¹^ORCID

Affiliation:

1. State Key Laboratory of Synthetical Automation for Process Industries and the College of Information Science and Engineering, Northeastern University, Shenyang, China

2. College of Information Science and Engineering, Shandong Normal University, Jinan, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

SAPI Fundamental Research Funds

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221036/10646531/10496241.pdf?arnumber=10496241

Reference35 articles.

1. Data-Driven-Based Cooperative Resilient Learning Method for Nonlinear MASs Under DoS Attacks

2. Data-Based Output Synchronization of Multi-Agent Systems With Actuator Faults

3. A Multiagent-Based Consensus Algorithm for Distributed Coordinated Control of Distributed Generators in the Energy Internet

4. Fuzzy Adaptive Practical Fixed-Time Consensus for Second-Order Nonlinear Multiagent Systems Under Actuator Faults

5. Off-Policy Reinforcement Learning for Synchronization in Multiagent Graphical Games

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