Reinforcement Learning-Based Decentralized Safety Control for Constrained Interconnected Nonlinear Safety-Critical Systems

This paper addresses the problem of decentralized safety control (DSC) of constrained interconnected nonlinear safety-critical systems under reinforcement learning strategies, where asymmetric input constraints and security constraints are considered. To begin with, improved performance functions as...

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Detalles Bibliográficos
Autores principales: Qin, Chunbin, Wu, Yinliang, Zhang, Jishi, Zhu, Tianzeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453656/
https://www.ncbi.nlm.nih.gov/pubmed/37628188
http://dx.doi.org/10.3390/e25081158

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453656/
https://www.ncbi.nlm.nih.gov/pubmed/37628188
http://dx.doi.org/10.3390/e25081158

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