Robust Stabilization of Impulsive Boolean Control Networks with Function Perturbation

This paper studies the robust stabilization of impulsive Boolean control networks (IBCNs) with function perturbation. A Boolean control network (BCN) with a state-dependent impulsive sequence is converted to an equivalent BCN by the semi-tensor product method. Based on the equivalence of stabilizati...

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Main Authors: Qilong Sun, Haitao Li
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/10/21/4029
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author Qilong Sun
Haitao Li
author_facet Qilong Sun
Haitao Li
author_sort Qilong Sun
collection DOAJ
description This paper studies the robust stabilization of impulsive Boolean control networks (IBCNs) with function perturbation. A Boolean control network (BCN) with a state-dependent impulsive sequence is converted to an equivalent BCN by the semi-tensor product method. Based on the equivalence of stabilization between the IBCN and the corresponding BCN, several criteria are proposed for the robust stabilization of IBCNs. Furthermore, when the IBCN is not robustly stabilizable after the function perturbation, an algorithm is presented to modify the control or the impulse-triggered set. Finally, an example is given to verify the obtained results.
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spelling doaj.art-45a46def869747399517d5e2126213d62023-11-24T05:43:48ZengMDPI AGMathematics2227-73902022-10-011021402910.3390/math10214029Robust Stabilization of Impulsive Boolean Control Networks with Function PerturbationQilong Sun0Haitao Li1School of Mathematics and Statistics, Shandong Normal University, Jinan 250014, ChinaSchool of Mathematics and Statistics, Shandong Normal University, Jinan 250014, ChinaThis paper studies the robust stabilization of impulsive Boolean control networks (IBCNs) with function perturbation. A Boolean control network (BCN) with a state-dependent impulsive sequence is converted to an equivalent BCN by the semi-tensor product method. Based on the equivalence of stabilization between the IBCN and the corresponding BCN, several criteria are proposed for the robust stabilization of IBCNs. Furthermore, when the IBCN is not robustly stabilizable after the function perturbation, an algorithm is presented to modify the control or the impulse-triggered set. Finally, an example is given to verify the obtained results.https://www.mdpi.com/2227-7390/10/21/4029impulsive Boolean control networksrobust stabilizationfunction perturbationsemi-tensor product of matrices
spellingShingle Qilong Sun
Haitao Li
Robust Stabilization of Impulsive Boolean Control Networks with Function Perturbation
Mathematics
impulsive Boolean control networks
robust stabilization
function perturbation
semi-tensor product of matrices
title Robust Stabilization of Impulsive Boolean Control Networks with Function Perturbation
title_full Robust Stabilization of Impulsive Boolean Control Networks with Function Perturbation
title_fullStr Robust Stabilization of Impulsive Boolean Control Networks with Function Perturbation
title_full_unstemmed Robust Stabilization of Impulsive Boolean Control Networks with Function Perturbation
title_short Robust Stabilization of Impulsive Boolean Control Networks with Function Perturbation
title_sort robust stabilization of impulsive boolean control networks with function perturbation
topic impulsive Boolean control networks
robust stabilization
function perturbation
semi-tensor product of matrices
url https://www.mdpi.com/2227-7390/10/21/4029
work_keys_str_mv AT qilongsun robuststabilizationofimpulsivebooleancontrolnetworkswithfunctionperturbation
AT haitaoli robuststabilizationofimpulsivebooleancontrolnetworkswithfunctionperturbation