Optimal bipartite consensus control for heterogeneous unknown multi-agent systems via reinforcement learning-Reference-Cited by-同舟云学术

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Optimal bipartite consensus control for heterogeneous unknown multi-agent systems via reinforcement learning

Published:2024-09 Issue: Volume:476 Page:128785
ISSN:0096-3003
Container-title:Applied Mathematics and Computation
language:en
Short-container-title:Applied Mathematics and Computation

Author:

Meng Hao,Pang Denghao^ORCID,Cao Jinde,Guo Yechen,Niazi Azmat Ullah Khan

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference40 articles.

1. Coordinated consensus for smart grid economic environmental power dispatch with dynamic communication network;Hamdi;IET Gener. Transm. Distrib.,2018

2. State-constrained bipartite tracking of interconnected robotic systems via hierarchical prescribed-performance control;Ge;Nonlinear Dyn.,2023

3. Energy-efficient distributed filtering in sensor networks: a unified switched system approach;Zhang;IEEE Trans. Cybern.,2016

4. Optimizing multi-agent based urban traffic signal control system;Xu;J. Intell. Transp. Syst.,2019

5. Disturbance observer-based integral sliding-mode control design for leader-following consensus of multi-agent systems and its application to car-following model;Samy;Chaos Solitons Fractals,2023

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