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Global synchronization of a class of chaotic neural networks

Zhang Hua-Guang Wang Zhi-Liang Wang Zhan-Shan

Global synchronization of a class of chaotic neural networks

Zhang Hua-Guang, Wang Zhi-Liang, Wang Zhan-Shan
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  • Abstract views:  3853
  • PDF Downloads:  1206
  • Cited By: 0
Publishing process
  • Received Date:  04 July 2005
  • Accepted Date:  01 November 2005
  • Published Online:  20 June 2006

Global synchronization of a class of chaotic neural networks

  • 1. (1)东北大学信息科学与工程学院, 沈阳 110004; (2)东北大学信息科学与工程学院, 沈阳 110004;沈阳理工大学信息工程系,沈阳 110168

Abstract: This paper deals with the global asymptotic synchronization problem for a class of chaotic neural networks with delay. Using the drive-response conception and linear matrix inequality technique, two sufficient conditions are derived to guarantee the global synchronization of two chaotic neural networks with identical structure and different initial conditions, which also present a procedure to construct a synchronization controller. The controller gain can be achieved by solving a linear matrix inequality, and therefore, it is easily implemented in practice. Two illustrative examples are used to demonstrate the effectiveness of the proposed method.

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