DocumentCode
3576051
Title
Delay-dependent passivity analysis for Markov jump neural networks with time-varying delays
Author
Jing Wang ; Hao Shen
Author_Institution
Sch. of Electr. & Inf. Eng., Anhui Univ. of Technol., Ma´anshan, China
fYear
2014
Firstpage
1530
Lastpage
1533
Abstract
This paper addresses the passivity analysis problem for Markov jump neural networks with time-varying delays. The aim is focus on establishing the passivity condition of the considered neural networks. To reduce the conservatism of the proposed passivity condition, based on an extended Wirtinger inequality, a reciprocally convex approach is used. A numerical example is presented to show effectiveness of our proposed condition.
Keywords
Markov processes; convex programming; delays; neurocontrollers; time-varying systems; Markov jump neural networks; delay-dependent passivity analysis; extended Wirtinger inequality; reciprocally convex approach; time-varying delays; Biological neural networks; Delays; Linear matrix inequalities; Markov processes; Neurons; Symmetric matrices;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics and Control (ICMC), 2014 International Conference on
Print_ISBN
978-1-4799-2537-7
Type
conf
DOI
10.1109/ICMC.2014.7231815
Filename
7231815
Link To Document