Title :
Periodic Lyapunov differential equation for noise evaluation in oscillatory genetic networks
Author :
Ichikawa, Sho ; Ito, Yohei ; Uchida, Kenko
Author_Institution :
Dept. of Electr. Eng. & Biosci., Waseda Univ., Tokyo, Japan
Abstract :
The Lyapunov equation, which describes stochastic variations of systems as a covariance equation, plays a central role in evaluation and prediction of behavior of genetic regulatory networks fluctuated by molecular noises. When the genetic network is an autonomously oscillatory system, the Lyapunov equation becomes a periodic differential equation that has generally unbounded solutions. We discuss orbital stability and periodicity properties of the solutions to the periodic Lyapunov differential equation by using Floquet-Lyapunov theory, and propose two global measures for evaluating stochastic fluctuations of the whole periodic trajectory. We also provide an evaluation formula for the period fluctuation.
Keywords :
Lyapunov methods; covariance analysis; differential equations; genetics; noise; stability; stochastic processes; Floquet-Lyapunov theory; autonomously oscillatory system; covariance equation; genetic regulatory networks; molecular noises; noise evaluation; orbital stability; oscillatory genetic networks; periodic Lyapunov differential equation; periodicity properties; stochastic fluctuations; stochastic variations; Control systems; Differential equations; Extraterrestrial measurements; Fluctuations; Genetics; Indium tin oxide; Predictive models; Stability; Stochastic resonance; Stochastic systems;
Conference_Titel :
Control Applications, (CCA) & Intelligent Control, (ISIC), 2009 IEEE
Conference_Location :
Saint Petersburg
Print_ISBN :
978-1-4244-4601-8
Electronic_ISBN :
978-1-4244-4602-5
DOI :
10.1109/CCA.2009.5281071