DocumentCode :
3191233
Title :
Controllability and stabilizability of probabilistic logical control networks
Author :
Yin Zhao ; Daizhan Cheng
Author_Institution :
Key Lab. of Syst. & Control, AMSS, Beijing, China
fYear :
2012
fDate :
10-13 Dec. 2012
Firstpage :
6729
Lastpage :
6734
Abstract :
Necessary and sufficient conditions of controllability and stabilizability of probabilistic Boolean control networks are first introduced, by using the controllability matrix of switched Boolean control networks. Then, these results are generalized to mix-valued logical control networks, which include the Boolean control networks as a special case. The algebraic forms of mix-valued logical control networks and Boolean networks make this generalization very natural. Finally, using the input-state incidence matrix of higher-order logical control networks, the results are also extended to higher-order case.
Keywords :
Boolean functions; controllability; matrix algebra; probability; stability; algebraic forms; controllability conditions; controllability matrix; higher-order logical control networks; input-state incidence matrix; mix-valued logical control networks; probabilistic Boolean control networks; probabilistic logical control networks; stabilizability conditions; switched Boolean control networks; Artificial neural networks; Boolean functions; Controllability; Mathematical model; Probabilistic logic; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location :
Maui, HI
ISSN :
0743-1546
Print_ISBN :
978-1-4673-2065-8
Electronic_ISBN :
0743-1546
Type :
conf
DOI :
10.1109/CDC.2012.6427395
Filename :
6427395
Link To Document :
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