On state feedback asymptotical stabilization of probabilistic Boolean control networks

2022 ◽  
Vol 160 ◽  
pp. 105107
Author(s):  
Xinrong Yang ◽  
Haitao Li
2016 ◽  
Vol 28 (4) ◽  
pp. 778-799 ◽  
Author(s):  
Yang Liu ◽  
Jinde Cao ◽  
Liangjie Sun ◽  
Jianquan Lu

In this letter, we investigate the sampled-data state feedback control (SDSFC) problem of Boolean control networks (BCNs). Some necessary and sufficient conditions are obtained for the global stabilization of BCNs by SDSFC. Different from conventional state feedback controls, new phenomena observed the study of SDSFC. Based on the controllability matrix, we derive some necessary and sufficient conditions under which the trajectories of BCNs can be stabilized to a fixed point by piecewise constant control (PCC). It is proved that the global stabilization of BCNs under SDSFC is equivalent to that by PCC. Moreover, algorithms are given to construct the sampled-data state feedback controllers. Numerical examples are given to illustrate the efficiency of the obtained results.


2018 ◽  
Vol 355 (13) ◽  
pp. 5520-5533 ◽  
Author(s):  
Xingyue Yang ◽  
Bingquan Chen ◽  
Yuanyuan Li ◽  
Yang Liu ◽  
Fuad E. Alsaadi

2018 ◽  
Vol 23 (4) ◽  
pp. 553-567 ◽  
Author(s):  
Xiaojing Xu ◽  
Yansheng Liu ◽  
Haitao Li ◽  
Fuad E. Alsaadi

This paper addresses the robust set stabilization problem of Boolean control networks (BCNs) with impulsive effects via the semi-tensor product method. Firstly, the closed-loop system consisting of a BCN with impulsive effects and a given state feedback control is converted into an algebraic form. Secondly, based on the algebraic form, some necessary and sufficient conditions are presented for the robust set stabilization of BCNs with impulsive effects under a given state feedback control and a free-form control sequence, respectively. Thirdly, as applications, some necessary and sufficient conditions are presented for robust partial stabilization and robust output tracking of BCNs with impulsive effects, respectively. The study of two illustrative examples shows that the obtained new results are effective.


2020 ◽  
Vol 50 (4) ◽  
pp. 1580-1589 ◽  
Author(s):  
Shiyong Zhu ◽  
Yang Liu ◽  
Jungang Lou ◽  
Jianquan Lu ◽  
Fuad E. Alsaadi

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