Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4630381 | Applied Mathematics and Computation | 2011 | 11 Pages |
Abstract
This paper is concerned with the problem of passivity analysis for a class of Cohen–Grossberg fuzzy bidirectional associative memory (BAM) neural networks with time varying delay. By employing the delay fractioning technique and linear matrix inequality optimization approach, delay dependent passivity criteria are established that guarantees the passivity of fuzzy Cohen–Grossberg BAM neural networks with uncertainties. The passivity condition is expressed in terms of LMIs, which can be easily solved by various convex optimization algorithms. Finally, a numerical example is given to illustrate the effectiveness of the proposed result.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
R. Sakthivel, A. Arunkumar, K. Mathiyalagan, S. Marshal Anthoni,