DocumentCode
3219301
Title
Passivity Analysis of Impulsive Neural Networks with Time Delays and Markovian Jump Parameters
Author
Zhang, Xiaomei ; Zheng, Yufan ; Gao, Yanbo ; Li, Xun
Author_Institution
Sch. of Sci., Nantong Univ., Nantong
Volume
1
fYear
2008
fDate
20-22 Oct. 2008
Firstpage
222
Lastpage
226
Abstract
This paper studies the robust stability and passivity of delayed impulsive neural networks with polytopic type uncertainties and Markovian jumping parameters. Based on Lyapunov stability theory and a descriptor system approach, some sufficient conditions in form of linear matrix inequalities are derived. An illustrated numerical example is provided to demonstrate the effectiveness of the proposed theoretical results.
Keywords
Lyapunov methods; Markov processes; delays; linear matrix inequalities; neural nets; Lyapunov stability theory; Markovian jump parameters; descriptor system approach; impulsive neural networks; linear matrix inequalities; passivity analysis; polytopic type uncertainties; robust stability; time delays; Artificial neural networks; Delay effects; Filtration; Linear matrix inequalities; Neural networks; Robust stability; Stability analysis; Stochastic processes; Sufficient conditions; Symmetric matrices;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
Conference_Location
Hunan
Print_ISBN
978-0-7695-3357-5
Type
conf
DOI
10.1109/ICICTA.2008.326
Filename
4659477
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