Robust Adaptive Synchronization of a Class of Delayed Recurrent Neural Networks
Huanxin Guan · Jisuanji fangzhen · 2007
An adaptive control scheme was proposed for the synchronization of a class of delayed recurrent neural networks with different attractors. A new sufficient criterion for the global robust synchronization of this kind of recurrent neural networks was derived. The proposed control scheme can be applied to the delayed recurrent neural networks with either known structure or unknown structure with partly known interconnection weight matrices, where the unknown weight matrix can be identified by the adaptive updating laws. The adaptive control method is efficient and easy to be implemented. Numerical simulation is used to show the effectiveness of the obtained result.