Set Stabilization in Distribution of Probabilistic Boolean Control Networks

被引：0
|
作者：
Zhou, Rongpei [1 ]
Guo, Yuqian [1 ]
机构：
[1] Cent S Univ, Sch Informat Sci & Engn, Changsha, Hunan, Peoples R China
来源：
2018 13TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA) | 2018年
基金：
中国国家自然科学基金;
关键词：
STABILITY; CONTROLLABILITY; SYNCHRONIZATION; OBSERVABILITY; MODEL;
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, we propose the concept of set stabilization in distribution of a probabilistic Boolean control network (PBCN), which determines whether the probability distribution converges to the distribution of the destination state subset under a certain control sequence. Then an algorithm is proposed to calculate the largest control invariant subset (LCIS) of a PBCN contained in a given set. We prove that for a PBCN, set stabilizability in distribution and set stabilizability in distribution by state feedback are equivalent. Based on this, a necessary and sufficient condition for set stabilizability in distribution is derived, and a control design method is proposed. Finally, examples are provided to illustrate the effectiveness of the proposed method.
引用
收藏
页码：274 / 279
页数：6
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