Title :
Stochastic stability of Boolean networks with Markov jump
Author :
Yunqi Zhao ; Fei Long
Author_Institution :
Inst. of Intell. Inf. Process., Guizhou Univ., Guiyang, China
fDate :
May 31 2014-June 2 2014
Abstract :
In this paper, we address the stochastic stability problem of Boolean networks with Markov jumping. Firstly, an algebraic expression of Markov switching Boolean networks is obtained by using the semi-tensor product. Based on such algebraic expression, a necessary and sufficient condition of stochastic stability is given. The control signal is then designed for Markov jumping Boolean control networks. Finally, the study of illustrative example shows that the new result obtained in this paper is effective in stochastic stability and control signal designing for the investigated Boolean network.
Keywords :
control system synthesis; nonlinear control systems; stability; stochastic systems; tensors; Boolean control networks; Markov jump; algebraic expression; control signal design; necessary condition; semi-tensor product; stochastic stability; sufficient condition; Controllability; Educational institutions; Markov processes; Stability analysis; Switches; Boolean network; Markov jumping; Semi-tensor product; Stochastic stability;
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
DOI :
10.1109/CCDC.2014.6852944