Global robust stability of delayed neural networks

被引：152

作者：

Arik, S ^{[1
]}

机构：

[1] Istanbul Univ, Dept Elect Elect Engn, TR-34850 Istanbul, Turkey

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS | 2003年 / 50卷 / 01期

关键词：

dynamical interval neural networks; equilibrium analysis; global robust stability;

D O I：

10.1109/TCSI.2002.807515

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This brief presents a sufficient condition for the existence, uniqueness, and global robust stability of the equilibrium point for Hopfield-type delayed neural networks. The result imposes constraint conditions on the boundary values of the network parameters independently of the delay parameter. This result is compared with the previous results derived in the literature.

引用

页码：156 / 160

页数：5

共 50 条

[11] Improved global robust stability criteria for delayed neural networks
Shen, Tao
Zhang, Yong
[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2007, 54 (08) : 715 - 719
[12] A New Sufficient Condition for Global Robust Stability of Delayed Neural Networks
Ozcan, Neyir
[J]. NEURAL PROCESSING LETTERS, 2011, 34 (03) : 305 - 316
[13] Novel results concerning global robust stability of delayed neural networks
Cao, Jinde
Li, H. X.
Han, Lei
[J]. NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS, 2006, 7 (03) : 458 - 469
[14] Global robust stability of delayed neural networks with discontinuous activation functions
Wang, Y.
Zuo, Y.
Huang, L.
Li, C.
[J]. IET CONTROL THEORY AND APPLICATIONS, 2008, 2 (07): : 543 - 553
[15] Global robust stability of interval delayed neural networks: Modified approach
Singh, Vimal
[J]. INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS, 2009, 37 (09) : 995 - 1007
[16] New sufficient conditions for global robust stability of delayed neural networks
Qi, Houduo
[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2007, 54 (05) : 1131 - 1141
[17] Global robust exponential stability of delayed neural networks: An LMI approach
Ou, Ou
[J]. CHAOS SOLITONS & FRACTALS, 2007, 32 (05) : 1742 - 1748
[18] A New Sufficient Condition for Global Robust Stability of Delayed Neural Networks
Neyir Ozcan
[J]. Neural Processing Letters, 2011, 34 : 305 - 316
[19] Global robust exponential stability analysis for delayed recurrent neural networks
Zhang, Zhizhou
Zhang, Lingling
She, Longhua
Huang, Lihong
[J]. 2008 INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION, VOLS 1-4, 2008, : 499 - +
[20] Improved global robust stability criterion for interval delayed neural networks
Singh, V.
[J]. IET CONTROL THEORY AND APPLICATIONS, 2009, 3 (12): : 1648 - 1653

← 1 2 3 4 5 →