Output Feedback Control of Markovian Switching Boolean Control Networks

被引：0

作者：

Meng, Min ^{[1
]}

Xiao, Gaoxi ^{[1
,2
,3
]}

机构：

[1] Nanyang Technol Univ, Sch Elect & Elect Engn, 50 Nanyang Ave, Singapore 639798, Singapore

[2] Nanyang Technol Univ, Inst Catastrophe Risk Management, 50 Nanyang Ave, Singapore 639798, Singapore

[3] Singapore ETH Ctr, Future Resilient Syst, 1 Create Way,Create Tower, Singapore 138602, Singapore

来源：

2019 IEEE 15TH INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION (ICCA) | 2019年

关键词：

output feedback; Markovian switching; convex programming; Boolean networks; semi-tensor product; STABILIZATION CONTROL DESIGN; STABILITY ANALYSIS; CONTROLLABILITY; MODELS;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, output feedback control of Markovian switching Boolean control networks (MSBCNs) is investigated via the semi-tensor product of matrices and convex programming. First, by reviewing stability results for Markovian switching Boolean networks, one necessary and sufficient condition for output feedback stabilization of MSBCNs is given, based on which a new equivalent condition for output feedback stabilization of MSBCNs is put forward in the form of a convex programming problem. From one feasible solution to this convex programming problem, the controller gains can be easily designed. Finally, an example about the lac operon in the bacterium Escherichia coil is presented to demonstrate the effectiveness of the obtained results.

引用

页码：830 / 835

页数：6

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