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

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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Bibliographic Details
Main Authors: Chunbin Qin, Yinliang Wu, Jishi Zhang, Tianzeng Zhu
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Entropy
Subjects:
interconnected nonlinear safety-critical systems
barrier function
asymmetric input constraints
safety constraints
decentralized control
Online Access:https://www.mdpi.com/1099-4300/25/8/1158

Internet

https://www.mdpi.com/1099-4300/25/8/1158

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