Title :
Robust Stability for Discrete-Time Uncertain Genetic Regulatory Networks with Infinite-Distributed Delay
Author :
Chien-Yu Lu ; Yung-Chia Hsiao ; Chien-Hung Liu ; Chang-Hung Hsu ; Koan-Yuh Chang ; Shan-Jen Cheng
Author_Institution :
Dept. of Ind. Educ. & Technol., Nat. Changhua Univ. of Educ., Changhua, Taiwan
Abstract :
This paper deals with the problem of robust stability for discrete-time uncertain genetic regulatory networks with both discrete interval and infinite-distributed time-varying delays, where discrete time-varying delay is on the lower and upper bounds and the uncertain parameters are norm-bounded. By employing Lyapunov-Krasovskii functional method combined with the bounding technique, a sufficient condition is established that guarantees the robust stability for discrete-time uncertain genetic regulatory networks with infinite-distributed delays. A particular feature of the criterion is dependent on the lower and upper bounds of the discrete interval time-varying delays, and is therefore less conservative than the delay-independent ones. Simulation examples are to prove the feasibility and applicability for proposed result.
Keywords :
Lyapunov methods; biology; delays; discrete time systems; genetics; molecular biophysics; robust control; Lyapunov-Krasovskii functional method; bounding technique; discrete-time uncertain genetic regulatory networks; infinite-distributed delay; lower bounds; robust stability; sufficient condition; upper bounds; Asymptotic stability; Delay effects; Delays; Genetics; Mathematical model; Robust stability; Stability analysis; Genetic regulatory network; infinite-distributed delay; robust stability; uncertain parameters;
Conference_Titel :
Computer, Consumer and Control (IS3C), 2014 International Symposium on
Conference_Location :
Taichung
DOI :
10.1109/IS3C.2014.109