New Stability Criteria for Recurrent Neural Networks with a Time-varying Delay
This paper deals with the stability of static recurrent neural networks (RNNs) with a time-varying delay. An augmented Lyapunov-Krasovskii functional is employed, in which some useful terms are included. Furthermore, the relationship among the time-varying delay, its upper bound and their difference, is taken into account, and novel bounding techniques for 1 - τ(t) are employed. As a result, without ignoring any useful term in the derivative of the Lyapunov-Krasovskii functional, the resulting...[Show more]
|Collections||ANU Research Publications|
|Source:||International Journal of Automation and Computing|
|01_Zeng_New_Stability_Criteria_for_2011.pdf||421.99 kB||Adobe PDF||Request a copy|
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.