English  |  正體中文  |  简体中文  |  Items with full text/Total items : 6480/11652
Visitors : 20636471      Online Users : 267
RC Version 3.2 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Adv. Search
LoginUploadHelpAboutAdminister

Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/13713

Title: Delay- Dependent Approach to Robust Stability for Uncertain Discrete Stochastic Recurrent Neural Networks with Interval Time-Varying Delays
Authors: Lu, Chien-Yu;Zheng, Kai-Yuan;Liao, Chin-Wen;Huang, Chuan-Kuei;Pan, Po-Jung
Contributors: 工業教育與技術學系
Keywords: Discrete stochastic recurrent neural network;Interval time-varying delay;Linear matrix inequality;Uncertainty;Robust stability
Date: 2008-11
Issue Date: 2012-08-27T10:47:26Z
Publisher: National Cheng Kung University
Abstract: This paper considers the problem of global robust delay-range-dependent stability for uncertain discrete stochastic recurrent neural networks with interval time-varying delays. The parameter uncertainties are assumed to be time-varying norm-bounded in the state equation. The activation functions are assumed to be globally Lipschitz continuous. Based on an appropriate Lyapunov- Krasovskii functional, global robust delay-dependent stability criterion which is dependent on both the lower bound and upper bound of the interval time-varying delays is derived. A sufficient condition for the discrete stochastic recurrent neural networks with interval time-varying delays is presented in terms of the linear matrix inequality (LMI). An example is given to demonstrate the reduced conservatism of the proposed results in this paper.
Relation: Proceedings of 2008 CACS International Automatic Control Conference, National Cheng Kung University, Tainan, Taiwan, 2008年11月21-23日
Appears in Collections:[工業教育與技術學系] 會議論文

Files in This Item:

File SizeFormat
2030100916003.pdf34KbAdobe PDF417View/Open


All items in NCUEIR are protected by copyright, with all rights reserved.

 


DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback