南京航空航天大学主页平台管理系统姜斌--姜斌南京航空航天大学-- LMI-based approach for global asymptotic stability analysis of recurrent neural networks with various delays and structures

论文成果当前位置: 姜斌南京航空航天大学 >> 科学研究 >> 论文成果

LMI-based approach for global asymptotic stability analysis of recurrent neural networks with various delays and structures

点击次数：
发表刊物：IEEE Transactions on Neural Networks
卷号：22
页面范围：1032-1045
是否译文：否
发表时间：2011-10-14
合写作者：B. Jiang
通讯作者：H. Zhang

上一条： Stabilization of switched nonlinear systems with all unstable modes: applications to multi-agent systems

下一条： Fault tolerant cooperative control for a class of nonlinear multi-agent systems