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|Title:||Improved free-weighting matrix approach for stability analysis of discrete-time recurrent neural networks with time-varying delay|
|Citation:||IEEE Transactions on Circuits and Systems, Part 2: Express Briefs, 2008; 55(7):690-694|
|Publisher:||Institute of Electrical and Electronics Engineers|
|Min Wu, Fang Liu, Peng Shi, Yong He and Ryuichi Yokoyama|
|Abstract:||This paper deals with the problem of exponential stability for a class of discrete-time recurrent neural networks with time-varying delay by employing an improved free-weighting matrix approach. The relationship among the time-varying delay, its upper bound and their difference is taken into account. As a result, a new and less conservative delay-dependent stability criterion is obtained without ignoring any useful terms on the difference of a Lyapunov function, which is expressed in terms of linear matrix inequalities. Finally, numerical examples are given to demonstrate the effectiveness of the proposed techniques.|
|Keywords:||Discrete-time recurrent neural networks; time-varying delay; delay-dependent stability; Lyapunov function; linear matrix inequalities (LMIs)|
|Rights:||© 2008 IEEE|
|Appears in Collections:||Electrical and Electronic Engineering publications|
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