Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
767285 | Communications in Nonlinear Science and Numerical Simulation | 2011 | 10 Pages |
Abstract
This paper deals with the problem of stability analysis for a class of discrete-time bidirectional associative memory (BAM) neural networks with time-varying delays. By employing the Lyapunov functional and linear matrix inequality (LMI) approach, a new sufficient conditions is proposed for the global exponential stability of discrete-time BAM neural networks. The proposed LMI based results can be easily checked by LMI control toolbox. Moreover, an example is also provided to demonstrate the effectiveness of the proposed method.
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Authors
R. Raja, S. Marshal Anthoni,