DocumentCode :
1624396
Title :
LMI-based approach for robust stability analysis of genetic regulatory delayed networks
Author :
Cheng, Cheng-Fa ; Cheng, Ching-Yuan
Author_Institution :
Dept. of Commun., Navig. & Control Eng., Nat. Taiwan Ocean Univ., Keelung, Taiwan
fYear :
2010
Firstpage :
451
Lastpage :
456
Abstract :
In this paper, new robust stability criteria of genetic regulatory networks with time-varying delays based on Lyapunov functional will be explored. The complex genetic regulatory network mechanism is regarded as SUM logic. Lyapunov based sufficient conditions for robust stability by introducing bounding techniques and free weighting matrices will be derived. All the proposed stability conditions in the forms of Riccati inequality can be expressed in terms of linear matrix inequality (LMIs) by Schur complements. Finally, a numerical example is given to demonstrate the effectiveness of the proposed methods.
Keywords :
Lyapunov methods; delays; linear matrix inequalities; medical control systems; stability; time-varying systems; LMI-based approach; Riccati inequality; SUM logic; genetic regulatory delayed networks; linear matrix inequality; robust stability analysis; Delay; delay; genetic regulatory network; linear matrix inequality; robust stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Science and Engineering (ICSSE), 2010 International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-6472-2
Type :
conf
DOI :
10.1109/ICSSE.2010.5551784
Filename :
5551784
Link To Document :
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