Title :
Disturbance attenuation analysis for Markovian jump genetic regulatory networks with mode dependent delays
Author :
Mohamadian, Mohammad ; Abolmasoumi, Amir Hossein ; Momeni, Hamid Reza
Author_Institution :
Electr. Eng. Dept., Tarbiat Modares Univ., Tehran, Iran
Abstract :
Since only small numbers of molecules are involved in gene regulation, genetic regulatory networks are extremely sensitive to stochastic fluctuations. Gene networks also suffer from delay due to slowness of biochemical reactions and molecular translocation. In this paper, we investigate stochastic stability and disturbance attenuation of stochastic Markovian genetic regulatory network with mode dependent delay. By using Lyapunov-Krasovskii functional, delay dependent conditions of stochastic stability and disturbance attenuation of genetic network is derived. These conditions are in the form of linear matrix inequality which can be verified easily by MATLAB.
Keywords :
Lyapunov matrix equations; Markov processes; biochemistry; delays; functional analysis; genetics; genomics; linear matrix inequalities; molecular biophysics; molecular configurations; stability; Lyapunov-Krasovskii functional; biochemical reaction; delay dependent condition; disturbance attenuation; disturbance attenuation analysis; gene regulation; genetic regulatory network; linear matrix inequality; mode dependent delay; molecular translocation; stochastic Markovian jump genetic regulatory network; stochastic fluctuation; stochastic stability; Attenuation; Delay; Genetics; Markov processes; Mathematical model; Stability analysis; Disturbance Attenuation; Gene regulatory networks; Linear Matrix Inequality; Markovian jump; Stochastic Stability;
Conference_Titel :
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location :
Mianyang
Print_ISBN :
978-1-4244-8737-0
DOI :
10.1109/CCDC.2011.5968794