Title :
State estimation for genetic regulatory networks with time-varying delay using stochastic sampled-data
Author :
Lee, Tong H. ; Park, M.J. ; Kwon, O.M. ; Park, Jae Hyo ; Lee, S.M.
Author_Institution :
Dept. of Electr. Eng., Yeungnam Univ., Kyongsan, South Korea
Abstract :
This paper considers genetic regulatory networks with time-varying delay. By construction of a suitable Lyapunov-Krasovskii functional and utilization of stochastic sampled-data, a delay-dependent state estimation for the concerned systems is established in terms of linear matrix inequalities (LMIs) which can be easily solved by various effective optimization algorithms. One numerical example is given to illustrate the effectiveness of the proposed method.
Keywords :
Lyapunov methods; delays; genetics; linear matrix inequalities; molecular biophysics; optimisation; state estimation; LMI; Lyapunov-Krasovskii functional; delay-dependent state estimation; genetic regulatory networks; linear matrix inequalities; optimization algorithms; stochastic sampled-data utilization; time-varying delay; Control systems; Delays; Educational institutions; Mathematical model; Proteins; State estimation; Stochastic processes; Genetic regulatory networks; State estimator; Stochastic sampled-data; Time-varying delay;
Conference_Titel :
Control Conference (ASCC), 2013 9th Asian
Conference_Location :
Istanbul
Print_ISBN :
978-1-4673-5767-8
DOI :
10.1109/ASCC.2013.6606371
