کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
408570 | 679033 | 2011 | 11 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Guaranteed performance state estimation of static neural networks with time-varying delay Guaranteed performance state estimation of static neural networks with time-varying delay](/preview/png/408570.png)
This paper is concerned with studying two kinds of guaranteed performance state estimation problems for static neural networks with time-varying delay. Both delay-independent and delay-dependent design criteria are presented under which the resulting estimation error system is globally asymptotically stable and a prescribed performance is guaranteed in the H∞H∞ or generalized H2 sense. It is shown that the gain matrices of the state estimator and the optimal performance indexes can be simultaneously obtained by solving convex optimization problems subject to linear matrix inequalities. It is worth noting that no slack variable is introduced in the proposed conditions, and thus the computational burden is reduced. The effectiveness of the developed results is finally demonstrated by simulation examples.
Journal: Neurocomputing - Volume 74, Issue 4, January 2011, Pages 606–616