DocumentCode
1563765
Title
Robust Stability Analysis for Time-Delayed Neural Networks with Nonlinear Disturbance
Author
Zong, Xiaojie
Author_Institution
Coll. of Comput. Sci. & Inf. Eng., Zhejiang Gongshang Univ., Hangzhou
Volume
1
fYear
2005
Firstpage
449
Lastpage
455
Abstract
The problem of robust stability analysis for time-delayed neural networks with nonlinear disturbance is investigated via Lyapunov stability theory. By constructing suitable Lyapunov functional and using matrix transformation, sufficient conditions on robust asymptotic and exponential stability of time-delayed neural networks with nonlinear disturbance are developed. All the stable criteria in this paper are presented in terms of linear matrix inequality
Keywords
Lyapunov methods; asymptotic stability; delays; linear matrix inequalities; neural nets; nonlinear systems; Lyapunov stability theory; exponential stability; linear matrix inequality; nonlinear disturbance; robust asymptotic stability; robust stability analysis; time-delayed neural networks; Computer science; Delay effects; Educational institutions; Linear matrix inequalities; Lyapunov method; Neural networks; Neurons; Robust stability; Stability analysis; Sufficient conditions;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-9422-4
Type
conf
DOI
10.1109/ICNNB.2005.1614652
Filename
1614652
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