Synchronization of Chaotic Systems without Direct Connections Using Reinforcement Learning

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概要

• 論文の詳細を見る

• In this paper, we propose a control method for the synchronization of chaotic systems that does not require the systems to be connected, unlike existing methods such as that proposed by Pecora and Carroll in 1990. The method is based on the reinforcement learning algorithm. We apply our method to two discrete-time chaotic systems with mismatched parameters and achieve M step delay synchronization. Moreover, we extend the proposed method to the synchronization of continuous-time chaotic systems.

• （社）電子情報通信学会の論文
• 2009-04-01

著者

• Adachi Masaharu

  School Of Engineering Tokyo Denki University

• SATO Norihisa

  School of Engineering, Tokyo Denki University

• Sato Norihisa

  School Of Engineering Tokyo Denki University

関連論文

• Synchronization of Chaotic Systems without Direct Connections Using Reinforcement Learning

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