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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Vydané v:	Chaos, solitons and fractals Ročník 174; s. 113809
Hlavní autori:	Cheng, Haoxin, Li, Haihong, Dai, Qionglin, Yang, Junzhong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.09.2023
Predmet:	Chaos synchronization Continuous control Deep reinforcement learning Model-free method Deep reinforcement learning Chaos synchronization Model-free method Continuous control
ISSN:	0960-0779
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