Abstract
In this paper, several new sufficient conditions are given to ensure existence, uniqueness and globally exponential robust stability of the equilibrium point for bidirectional associative memory (BAM) networks with delays. This novel approach, based on the Linear Matrix Inequality (LMI) technique, removes some existing restrictions on the system's parameters, and the derived conditions are easy to verify via the LMI toolbox. In addition, two examples are given to show the effectiveness and the advantage of the proposed results. © 2006 Elsevier Ltd. All rights reserved.
| Original language | English |
|---|---|
| Pages (from-to) | 1558-1572 |
| Journal | Nonlinear Analysis, Theory, Methods and Applications |
| Volume | 66 |
| Issue number | 7 |
| DOIs | |
| Publication status | Published - 1 Apr 2007 |
Research Keywords
- BAM neural networks
- Global robust stability
- Linear Matrix Inequality (LMI)
- Lyapunov function
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