【摘 要】
：
通过设计一个自适应控制器和参数更新法则,实现两个分数阶不确定耦合递归动态神经网络系统(fractional-order uncertain coupling recurrent dynamical neural networks,FUCRDNNs)的同步和参数识别;构造辅助函数证明了所提出方法的局部渐近稳定性,并得到了两个相关推论;最后通过两个数值算例表明了该方法的有效性.
【机 构】
：
山东理工大学 数学与统计学院,山东 淄博255049;山东理工大学 计算机科学与技术学院,山东 淄博255049
论文部分内容阅读
通过设计一个自适应控制器和参数更新法则,实现两个分数阶不确定耦合递归动态神经网络系统(fractional-order uncertain coupling recurrent dynamical neural networks,FUCRDNNs)的同步和参数识别;构造辅助函数证明了所提出方法的局部渐近稳定性,并得到了两个相关推论;最后通过两个数值算例表明了该方法的有效性.
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