𝔖 Bobbio Scriptorium
✦   LIBER   ✦

LMI conditions for stability of impulsive stochastic Cohen–Grossberg neural networks with mixed delays

✍ Scribed by Xilin Fu; Xiaodi Li

Publisher
Elsevier Science
Year
2011
Tongue
English
Weight
510 KB
Volume
16
Category
Article
ISSN
1007-5704

No coin nor oath required. For personal study only.

✦ Synopsis

LMI) Multiple time-varying delays Continuously distributed delays

📜 SIMILAR VOLUMES

Exponential p-stability of impulsive sto
Exponential p-stability of impulsive stochastic Cohen–Grossberg neural networks with mixed delays
✍ Xiaohu Wang; Qingyi Guo; Daoyi Xu 📂 Article 📅 2009 🏛 Elsevier Science 🌐 English ⚖ 204 KB

In this paper, we study the impulsive stochastic Cohen-Grossberg neural networks with mixed delays. By establishing an Loperator differential inequality with mixed delays and using the properties of M-cone and stochastic analysis technique, we obtain some sufficient conditions ensuring the exponenti

Global asymptotic stability of stochasti
Global asymptotic stability of stochastic Cohen–Grossberg-type BAM neural networks with mixed delays: An LMI approach
✍ Xiaodi Li; Xilin Fu 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 280 KB

In this paper, we consider the stochastic Cohen-Grossberg-type BAM neural networks with mixed delays. By utilizing the Lyapunov-Krasovskii functional and the linear matrix inequality (LMI) approach, some sufficient LMI-based conditions are obtained to guarantee the global asymptotic stability of sto

Exponential stability of Cohen–Grossberg
Exponential stability of Cohen–Grossberg neural networks with delays
✍ Xiaofeng Liao; Jiyun Yang; Songtao Guo 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 169 KB

The exponential stability characteristics of the Cohen-Grossberg neural networks with discrete delays are studied in this paper, without assuming the symmetry of connection matrix as well as the monotonicity and differentiability of the activation functions and the self-signal functions. By construc