Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/152775
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dc.contributor.authorYu, Yongyuanen_US
dc.contributor.authorMeng, Minen_US
dc.contributor.authorFeng, Jun-een_US
dc.contributor.authorGao, Yanen_US
dc.date.accessioned2021-09-28T08:25:35Z-
dc.date.available2021-09-28T08:25:35Z-
dc.date.issued2019-
dc.identifier.citationYu, Y., Meng, M., Feng, J. & Gao, Y. (2019). An adjoint network approach to design stabilizable switching signals of switched Boolean networks. Applied Mathematics and Computation, 357, 12-22. https://dx.doi.org/10.1016/j.amc.2019.02.067en_US
dc.identifier.issn0096-3003en_US
dc.identifier.urihttps://hdl.handle.net/10356/152775-
dc.description.abstractIn this paper, two kinds of stabilizability of switched Boolean networks (SBNs), consistent stabilizability and stabilizability under time-varying output feedback (TVOF), are investigated on the basis of adjoint logical networks (ALNs), which are constructed via switching signals. Firstly, globally consistent stabilizability of SBNs is equivalently converted into local (one state) pointwise stabilizability of ALNs, under which all suitable finite-time switching signals can be designed. Then the method is generalized to design stabilizable TVOF switching signals. Finally, to show the effectiveness of obtained results, two types of stabilizability of a shift register are discussed.en_US
dc.language.isoenen_US
dc.relation.ispartofApplied Mathematics and Computationen_US
dc.rights© 2019 Elsevier Inc. All rights reserved.en_US
dc.subjectEngineering::Electrical and electronic engineeringen_US
dc.titleAn adjoint network approach to design stabilizable switching signals of switched Boolean networksen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.identifier.doi10.1016/j.amc.2019.02.067-
dc.identifier.scopus2-s2.0-85063874403-
dc.identifier.volume357en_US
dc.identifier.spage12en_US
dc.identifier.epage22en_US
dc.subject.keywordsConsistent Stabilizabilityen_US
dc.subject.keywordsSwitched Boolean Networksen_US
dc.description.acknowledgementThis work was partially supported by the National Natural Science Foundation (NNSF) of China under Grant 61773371, 61877036.en_US
item.fulltextNo Fulltext-
item.grantfulltextnone-
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