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一类混沌神经网络的全局同步
Global synchronization of a class of chaotic neural networks
【摘要】 研究了一类时滞混沌神经网络的全局同步问题.应用驱动-响应同步方法和线性矩阵不等式技术,给出了时滞混沌神经网络全局同步的充分条件和同步控制器设计方法,而且所得到的控制器易于实现.仿真示例验证了本文方法的有效性.
【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.
【Key words】 Chaotic neural networks; synchronization; drive-response conception; linear matrix inequality;
- 【文献出处】 物理学报 ,Acta Physica Sinica , 编辑部邮箱 ,2006年06期
- 【分类号】O415.5
- 【被引频次】41
- 【下载频次】412