|
|
|
|
Less conservative stability criteria for neutral type neural networks with mixed time-varying delays
|
|
|
|
|
|
|
|
نویسنده
|
shi k. ,zhu h. ,zhong s. ,zeng y. ,zhang y. ,liang l.
|
|
منبع
|
journal of applied mathematics - 2013 - دوره : 2013 - شماره : 0
|
|
چکیده
|
This paper investigates the problem of dependent stability criteria for neutral type neural networks with mixed time-varying delays. firstly,some new delay-dependent stability results are obtained by employing the more general partitioning approach and generalizing the famous jensen inequality. secondly,based on a new type of lyapunov-krasovskii functional with the cross terms of variables,less conservative stability criteria are proposed in terms of linear matrix inequalities (lmis). furthermore,it is the first time that the idea of second-order convex combination and the property of quadratic convex function applied to the derivation of neutral type neural networks play an important role in reducing the conservatism of the paper. finally,four numerical examples are given to show the effectiveness and the advantage of the proposed method. © 2013 kaibo shi et al.
|
|
|
|
|
آدرس
|
school of automation engineering,university of electronic science and technology of china, China, school of automation engineering,university of electronic science and technology of china, China, school of mathematical sciences,university of electronic science and technology of china,chengdu 611731,china,key laboratory for neuroinformation of ministry of education,university of electronic science and technology of china, China, school of automation engineering,university of electronic science and technology of china, China, school of automation engineering,university of electronic science and technology of china, China, college of information sciences and technology,hainan university, China
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Authors
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|