Integral Reinforcement-Learning-Based Optimal Containment Control for Partially Unknown Nonlinear Multiagent Systems

This paper focuses on the optimal containment control problem for the nonlinear multiagent systems with partially unknown dynamics via an integral reinforcement learning algorithm. By employing integral reinforcement learning, the requirement of the drift dynamics is relaxed. The integral reinforcem...

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Detalles Bibliográficos
Autores principales: Wu, Qiuye, Wu, Yongheng, Wang, Yonghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9955993/
https://www.ncbi.nlm.nih.gov/pubmed/36832588
http://dx.doi.org/10.3390/e25020221

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9955993/
https://www.ncbi.nlm.nih.gov/pubmed/36832588
http://dx.doi.org/10.3390/e25020221

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