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
Link To Document :
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