Szczegóły publikacji

Opis bibliograficzny

Stabilization of Markovian jump Boolean control networks via sampled-data control / Bingquan Chen, Jinde Cao, Guoping Lu, Leszek RUTKOWSKI // IEEE Transactions on Cybernetics ; ISSN 2168-2267. — 2022 — vol. 52 no. 10, s. 10290–10301. — Bibliogr. s. 10299–10300, Abstr. — L. Rutkowski - dod. afiliacja: Institute of Computational Intelligence, Czestochowa University of Technology, Czestochowa, Poland; Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

Autorzy (4)

Słowa kluczowe

finite time stabilizationMarkovian jump Boolean control networkssemitensor productSTPSDSFCsampled-data state feedback controlasymptotic stabilizationMJBCNs

Dane bibliometryczne

ID BaDAP144558
Data dodania do BaDAP2023-01-13
Tekst źródłowyURL
DOI10.1109/TCYB.2021.3069750
Rok publikacji2022
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Czasopismo/seriaIEEE Transactions on Cybernetics

Abstract

In this article, we study the finite-time stabilization and the asymptotic stabilization with probability one of Markovian jump Boolean control networks (MJBCNs) by sampled-data state feedback controls (SDSFCs). Based on the semi-tensor product (STP), we introduce an augmented variable multiplied by the vector form of the switching signal and the state of MJBCN. We find that under SDSFC, the sequence of the states of the augmented variable at sampling instants satisfies the Markov property. Based on the convergences of the switching signal and the augmented variable, we obtain the sufficient and necessary criteria for the finite-time stabilization and the asymptotic stabilization of MJBCNs by SDSFCs, respectively. Moreover, for the two kinds of stabilization, the feedback matrices of SDSFCs are constructed, respectively. Finally, the obtained results are applied to an apoptosis network and a model of the lactose operon in the Escherichia Coli.

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