Data-driven adaptive consensus control for heterogeneous nonlinear Multi-Agent Systems using online reinforcement learning-Reference-Cited by-同舟云学术

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Data-driven adaptive consensus control for heterogeneous nonlinear Multi-Agent Systems using online reinforcement learning

Published:2024-09 Issue: Volume:596 Page:127818
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Ji Xiaoqiang,Zhang Xicheng,Zhu Shaoqing,Deng Fuqin^ORCID,Zhu Bin

Publisher

Elsevier BV

Reference34 articles.

1. Recent advances in consensus of multi-agent systems: A brief survey;Qin;IEEE Trans. Ind. Electron.,2017

2. On stabilizability of multi-agent systems;Sun;Automatica,2022

3. Time-varying formation tracking for second-order multi-agent systems subjected to switching topologies with application to quadrotor formation flying;Dong;IEEE Trans. Ind. Electron.,2017

4. Designing fully distributed consensus protocols for linear multi-agent systems with directed graphs;Li;IEEE Trans. Autom. Control,2015

5. Consensus of cooperative–antagonistic multi-agent networks with asynchronous three-option decision mechanism;Zou;Automatica,2022

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