The paper investigates the stability and passivity analysis problems for a class of uncertain neural networks with time-delay via delta operator approach. Both the parameter uncertainty and the generalized activation functions are considered in this paper. By constructing an appropriate Lyapunov-Krasovskii functional, some new stability and passivity conditions are obtained in terms of linear matrix inequalities (LMIs). The main characteristic of this paper is to obtain novel stability and passivity analysis criteria for uncertain neural networks with time-delay in the delta operator system framework. A numerical example is presented to demonstrate the effectiveness of the proposed results. © 2014 Xueying Shao et al.
|Titolo:||New results on passivity analysis for uncertain neural networks with time-varying delay|
|Autori interni:||KARIMI, HAMID REZA|
|Data di pubblicazione:||2014|
|Rivista:||ABSTRACT AND APPLIED ANALYSIS|
|Appare nelle tipologie:||01.1 Articolo in Rivista|