DocumentCode
176921
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
fYear
2014
fDate
May 31 2014-June 2 2014
Firstpage
4346
Lastpage
4350
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location
Changsha
Print_ISBN
978-1-4799-3707-3
Type
conf
DOI
10.1109/CCDC.2014.6852944
Filename
6852944
Link To Document