State Distribution of Markovian Jump Boolean Networks and Its Applications

This article investigates the state distribution of Markovian jump Boolean networks subject to stochastic disturbances based on the measured outputs. The considered disturbances are modeled as independent and identically distributed processes with known probability distributions. An iterative algori...

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Bibliographic Details
Published in:	IEEE transactions on automatic control Vol. 68; no. 3; pp. 1815 - 1822
Main Authors:	Meng, Min, Xiao, Gaoxi
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.03.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Boolean functions Conditional probability Disturbances Fault detection Iterative algorithms Iterative methods Manganese Markovian jump Boolean networks (MJBNs) Networks Observers optimal state estimation Probability distribution reconstructibility semi-tensor product (STP) state distribution State estimation Stochastic processes Switches
ISSN:	0018-9286, 1558-2523
Online Access:	Get full text
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