A deep reinforcement learning method to control chaos synchronization between two identical chaotic systems

We propose a model-free deep reinforcement learning method for controlling the synchronization between two identical chaotic systems, one target and one reference. By interacting with the target and the reference, the agent continuously optimizes its strategy of applying perturbations to the target...

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Veröffentlicht in:	Chaos, solitons and fractals Jg. 174; S. 113809
Hauptverfasser:	Cheng, Haoxin, Li, Haihong, Dai, Qionglin, Yang, Junzhong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.09.2023
Schlagworte:	Chaos synchronization Continuous control Deep reinforcement learning Model-free method Deep reinforcement learning Chaos synchronization Model-free method Continuous control
ISSN:	0960-0779
Online-Zugang:	Volltext
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