DocumentCode
1702951
Title
Robust stochastic stability of hybrid genetic networks
Author
Sun, Yonghui ; Feng, Gang ; Wu, Aiguo
Author_Institution
Dept. of Manuf. Eng. & Eng. Manage., City Univ. of Hong Kong, Hong Kong, China
fYear
2010
Firstpage
232
Lastpage
236
Abstract
In this paper, a stochastic hybrid genetic networks model is proposed. By taking into account the structure variations at discrete time instances during the process of gene regulation, its robust stochastic stability with intrinsic and extrinsic noises is then addressed from stochastic system point of view. The sufficient stability condition for the hybrid genetic networks could be easily facilitated by Matlab LMI toolbox. Finally, a numerical example with simulations is provided to illustrate the effectiveness of the developed results.
Keywords
discrete time systems; genetic algorithms; linear matrix inequalities; robust control; stochastic systems; Matlab LMI toolbox; discrete time instances; extrinsic noises; gene regulation process; hybrid genetic networks; intrinsic noises; robust stochastic stability; structure variations; Biological system modeling; Genetics; Mathematical model; Probabilistic logic; Robustness; Switches; Hybrid genetic networks; extrinsic noises; intrinsic noises; robust stochastic stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location
Jinan
Print_ISBN
978-1-4244-6712-9
Type
conf
DOI
10.1109/WCICA.2010.5555027
Filename
5555027
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