The Robustness of Outputs With Respect to Disturbances for Boolean Control Networks

被引:11
|
作者
Li, Bowen [1 ,2 ]
Liu, Yang [2 ]
Lou, Jungang [3 ]
Lu, Jianquan [4 ]
Cao, Jinde [4 ]
机构
[1] Southeast Univ, Sch Informat Sci & Engn, Nanjing 210096, Peoples R China
[2] Zhejiang Normal Univ, Coll Math & Comp Sci, Jinhua 321004, Zhejiang, Peoples R China
[3] Huzhou Univ, Sch Informat Engn, Huzhou 313000, Peoples R China
[4] Southeast Univ, Sch Math, Jiangsu Prov Key Lab Networked Collect Intelligen, Nanjing 210096, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Robustness; Learning systems; Matrix converters; Genetics; Matrix decomposition; Collective intelligence; Boolean control network (BCN); robustness; semi-tensor product (STP); output; STABILITY; DESIGN;
D O I
10.1109/TNNLS.2019.2910193
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this brief, we investigate the robustness of outputs with respect to disturbances for Boolean control networks (BCNs) by semi-tensor product (STP) of matrices. First, BCNs are converted into the corresponding algebraic forms by STP, then two sufficient conditions for the robustness are derived. Moreover, the corresponding permutation system and permutation graph are constructed. It is proven that if there exist controllers such that the outputs of permutation systems are robust with respect to disturbances, then there must also exist controllers such that the outputs of the corresponding original systems achieve robustness with respect to disturbances. One effective method is proposed to construct controllers to achieve robustness. Examples are also provided to illustrate the correctness of the obtained results.
引用
收藏
页码:1046 / 1051
页数:6
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