Observability Decomposition of Boolean Control Networks Under Several Kinds of Observability

被引:3
|
作者
Li, Yiliang [1 ]
Feng, Jun-E [1 ]
Cheng, Daizhan [2 ]
Jia, Yingzhe [3 ]
机构
[1] Shandong Univ, Sch Math, Jinan 250100, Peoples R China
[2] Chinese Acad Sci, Acad Math & Syst Sci, Key Lab Syst & Control, Beijing 100190, Peoples R China
[3] Hunan Univ, Coll Elect & Informat Engn, Changsha 410012, Peoples R China
基金
中国国家自然科学基金;
关键词
Boolean control networks (BCNs); distinguishability of states; observability; observability decomposition; truth matrix; STATE ESTIMATION; RECONSTRUCTIBILITY; OUTPUTS;
D O I
10.1109/TAC.2023.3300754
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 article, a uniform method is provided to investigate the observability decomposition of Boolean control networks (BCNs) under different definitions of observability. Since the observability of BCNs is defined via the distinguishability of states, an algorithm is devised to identify and sort distinguishable states. To find the possible control sequences, a truth matrix reflecting the relationship between state pairs and control inputs is constructed. Using the truth matrix, necessary and sufficient conditions for several types of observability are given. Based on criteria for observability and some matrix discriminants, the realizability of observability decomposition is discussed. Notably, the proposed method is applicable to the observability decomposition under different definitions of observability, while the existing result is valid for only one type of observability. Furthermore, an example is introduced to illustrate the feasibility of the presented results.
引用
收藏
页码:1340 / 1347
页数:8
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