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ISNN
2005
Springer

Exponential Stability Analysis of Neural Networks with Multiple Time Delays

13 years 9 months ago
Exponential Stability Analysis of Neural Networks with Multiple Time Delays
This paper considers the robust stability of neural networks with multiple delays. Based on Lyapunov stability theory and linear matrix inequality technique, some new delay independent conditions are derived to guarantee the global robust exponential stability of the equilibrium point. Furthermore, the obtained results are generalized to the interval neural networks and bidirectional associative memory (BAM) neural networks. Two examples are used to show the effectiveness of the obtained results. r 2006 Elsevier B.V. All rights reserved.
Huaguang Zhang, Zhanshan Wang, Derong Liu
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where ISNN
Authors Huaguang Zhang, Zhanshan Wang, Derong Liu
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