作者: R. Sakthivel , A. Arunkumar , K. Mathiyalagan , S. Marshal Anthoni
DOI: 10.1016/J.AMC.2011.09.024
关键词:
摘要: Abstract This paper is concerned with the problem of passivity analysis for a class Cohen–Grossberg fuzzy bidirectional associative memory (BAM) neural networks time varying delay. By employing delay fractioning technique and linear matrix inequality optimization approach, dependent criteria are established that guarantees BAM uncertainties. The condition expressed in terms LMIs, which can be easily solved by various convex algorithms. Finally, numerical example given to illustrate effectiveness proposed result.