Controllability of Markovian jump Boolean control networks
In this paper, controllability of Markovian jump Boolean control networks (MJBCNs) is studied via semi-tensor product of matrices. First, based on the algebraic expression of the considered Boolean control networks, a necessary and sufficient condition for controllability is presented by iteration e...
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sg-ntu-dr.10356-1445522021-02-03T07:55:22Z Controllability of Markovian jump Boolean control networks Meng, Min Xiao, Gaoxi Zhai, Chao Li, Guoqi School of Electrical and Electronic Engineering Institute of Catastrophe Risk Management (ICRM) Engineering::Electrical and electronic engineering Controllability Markovian Jump Boolean Networks In this paper, controllability of Markovian jump Boolean control networks (MJBCNs) is studied via semi-tensor product of matrices. First, based on the algebraic expression of the considered Boolean control networks, a necessary and sufficient condition for controllability is presented by iteration equations, which however may lead to high-dimensional matrices. To avoid having such matrices, a new matrix is defined and applied to derive another equivalent condition to verify controllability of MJBCNs. Moreover, a maximum principle of MJBCNs is established to further study the minimal controllable time. Finally, two examples are presented to illustrate the obtained results. Ministry of Education (MOE) Accepted version The work was partially supported by Ministry of Education, Singapore,under contract of MOE2016-T2-1-119. The material in this paper was notpresented at any conference. This paper was recommended for publication inrevised form by Associate Editor Jamal Daafouz under the direction of EditorRichard Middleton.. 2020-11-12T02:28:20Z 2020-11-12T02:28:20Z 2019 Journal Article Meng, M., Xiao, G., Zhai, C., & Li, G. (2019). Controllability of Markovian jump Boolean control networks. Automatica, 106, 70–76. doi:10.1016/j.automatica.2019.04.028 0005-1098 https://hdl.handle.net/10356/144552 10.1016/j.automatica.2019.04.028 106 70 76 en Automatica © 2019 Elsevier Ltd. All rights reserved. This paper was published in Automatica and is made available with permission of Elsevier Ltd. application/pdf |
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Engineering::Electrical and electronic engineering Controllability Markovian Jump Boolean Networks Meng, Min Xiao, Gaoxi Zhai, Chao Li, Guoqi Controllability of Markovian jump Boolean control networks |
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In this paper, controllability of Markovian jump Boolean control networks (MJBCNs) is studied via semi-tensor product of matrices. First, based on the algebraic expression of the considered Boolean control networks, a necessary and sufficient condition for controllability is presented by iteration equations, which however may lead to high-dimensional matrices. To avoid having such matrices, a new matrix is defined and applied to derive another equivalent condition to verify controllability of MJBCNs. Moreover, a maximum principle of MJBCNs is established to further study the minimal controllable time. Finally, two examples are presented to illustrate the obtained results. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Meng, Min Xiao, Gaoxi Zhai, Chao Li, Guoqi |
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Article |
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Meng, Min Xiao, Gaoxi Zhai, Chao Li, Guoqi |
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Meng, Min |
title |
Controllability of Markovian jump Boolean control networks |
title_short |
Controllability of Markovian jump Boolean control networks |
title_full |
Controllability of Markovian jump Boolean control networks |
title_fullStr |
Controllability of Markovian jump Boolean control networks |
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Controllability of Markovian jump Boolean control networks |
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controllability of markovian jump boolean control networks |
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2020 |
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https://hdl.handle.net/10356/144552 |
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1692012909194903552 |