跳到主要导航 跳到搜索 跳到主要内容

Output Synchronization in Coupled Neural Networks with and Without External Disturbances

  • Tiangong University
  • Texas A&M University at Qatar

科研成果: 期刊稿件文章同行评审

摘要

This paper studies the output synchronization of coupled neural networks (CNNs) as well as the effects of external disturbances. By employing matrix theory and Barbalat's Lemma, several output synchronization criteria are presented for CNNs with directed and undirected topologies, respectively. Moreover, in order to ensure the output synchronization of CNNs, two adaptive schemes to adjust the coupling weights are designed. On the other hand, we, respectively, analyze the H output synchronization of directed and undirected CNNs with external disturbances, and two adaptive strategies for updating the coupling weights are designed to guarantee the H output synchronization of CNNs. Finally, two examples of CNNs are also given to verify the proposed output synchronization criteria.

源语言英语
文章编号8186197
页(从-至)2049-2061
页数13
期刊IEEE Transactions on Control of Network Systems
5
4
DOI
出版状态已出版 - 12月 2018

学术指纹

探究 'Output Synchronization in Coupled Neural Networks with and Without External Disturbances' 的科研主题。它们共同构成独一无二的学术指纹。

引用此