New passivity criteria for memristor-based neutral-type stochastic BAM neural networks with mixed time-varying delays

作者：Ali, M. Syed; Saravanakumar, R.; Cao, Jinde^*

来源：Neurocomputing, 2016, 171: 1533-1547.

DOI：10.1016/j.neucom.2015.07.101

• Passivity analysis
• Memristor
• Neutral-type stochastic BAM neural networks
• Quadruple integral
• Time-varying delay

This paper deals with the problem of passivity analysis issue for a class of memristor-based neutral-type stochastic bidirectional associative memory neural networks (MNSBAMNNs) with discrete interval and distributed time-varying delays. By constructing new Lyapunov-Krasovskii functional (LICE) with quadruple integral terms and suitable activation function conditions, some delay-dependent passivity criteria are obtained in the linear matrix inequality (LMI) format. A numerical example is given to demonstrate the effectiveness and superiority of the new scheme.

• 出版日期2016-1-1
• 单位东南大学