Title of article
Exponential stability of high-order bidirectional associative memory neural networks with time delays
Author/Authors
Cao، نويسنده , , Jinde and Liang، نويسنده , , Jinling and Lam، نويسنده , , James، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2004
Pages
12
From page
425
To page
436
Abstract
In this paper, exponential stability is studied for a class of high-order bidirectional associative memory (BAM) neural networks with time delays. By employing the linear matrix inequality (LMI) and the Lyapunov functional methods, several sufficient conditions are obtained for ensuring the system to be globally exponentially stable. Two illustrative examples are also given in the end of this paper to show the effectiveness of our results.
Keywords
Time delays , Bidirectional associative memory (BAM) , Exponential stability , Lyapunov functional , High-order neural networks , Linear matrix inequality
Journal title
Physica D Nonlinear Phenomena
Serial Year
2004
Journal title
Physica D Nonlinear Phenomena
Record number
1725915
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