作者: Nan Jiang , Xiaoyang Liu , Wenwu Yu , Jun Shen , None
DOI: 10.1016/J.NEUCOM.2015.04.064
关键词:
摘要: This paper is concerned with the finite-time synchronization for a class of stochastic genetic regulatory networks (GRNs). The purpose addressed problem to design controller that can synchronize concentration mRNA and protein GRNs in finite time probability. Based on recent stability theorem nonlinear systems, sufficient conditions are first established ensuring error Then, gain parameters obtained by solving linear matrix inequality robust guaranteed uncertain parameters. Compared previous references, continuous designed achieve objective constructive method may accelerate convergence discussed. Finally, two numerical examples given illustrate effectiveness proposed method.