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.
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.
出处
《物理学报》
SCIE
EI
CAS
CSCD
北大核心
2006年第6期2687-2693,共7页
Acta Physica Sinica
基金
国家自然科学基金(批准号:60534010
60572070
60521003)
教育部长江学者及创新团队计划资助的课题~~
关键词
混沌神经网络
同步
驱动-响应法
线性矩阵不等式
Chaotic neural networks, synchronization, drive-response conception, linear matrix inequality
