The Outputs Robustness of Boolean Control Networks via Pinning Control

被引:37
|
作者
Li, Bowen [1 ,2 ]
Lu, Jianquan [3 ]
Liu, Yang [4 ,5 ]
Wu, Zheng-Guang [6 ]
机构
[1] Southeast Univ, Sch Informat Sci & Engn, Nanjing 210096, Peoples R China
[2] Southeast Univ, Sch Cyber Sci & Engn, Nanjing 210096, Peoples R China
[3] Southeast Univ, Sch Math, Jiangsu Prov Key Lab Networked Collect Intelligen, Nanjing 210096, Peoples R China
[4] Zhejiang Normal Univ, Coll Math & Comp Sci, Jinhua 321004, Zhejiang, Peoples R China
[5] Southeast Univ, Sch Math, Nanjing 210096, Peoples R China
[6] Zhejiang Univ, Natl Lab Ind Control Technol, Inst Cyber Syst & Control, Hangzhou 310027, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
Boolean control network (BCN); disturbances; output; pinning control; robustness; OBSERVABILITY; STABILITY; CONTROLLABILITY; STABILIZATION;
D O I
10.1109/TCNS.2019.2913543
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The outputs robustness is a property where the outputs of a system are insensitive to disturbances, and the property plays an important role in biological systems or engineering design. This paper presents an approach to analyze the outputs robustness with respect to disturbances (w.r.t. disturbances) for Boolean control networks (BCNs). Based on the wiring digraph of a BCN rather than the state transition digraph, an algorithm is proposed to construct a corresponding permutation digraph and permutation system. Then, we prove that if there exists a pinning controller such that the outputs of a permutation system are robust w.r.t. disturbances, then there must also exist another pinning controller such that the outputs of the corresponding original systems achieve robustness. Furthermore, pinning controllers are designed based on the neighbors of the pinned-nodes rather than all of the nodes. Finally, the proposed method is well demonstrated by a reduced signal transduction network.
引用
收藏
页码:201 / 209
页数:9
相关论文
共 50 条
  • [21] Pinning Stabilizer Design for Probabilistic Boolean Control Networks via Condensation Digraph
    Wang, Lina
    Liu, Jiayang
    Liu, Yang
    Gui, Weihua
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 34 (12) : 10130 - 10140
  • [22] Pinning control design for feedback stabilization of constrained Boolean control networks
    Qiqi Yang
    Haitao Li
    Yansheng Liu
    [J]. Advances in Difference Equations, 2016
  • [23] Pinning control design for feedback stabilization of constrained Boolean control networks
    Yang, Qiqi
    Li, Haitao
    Liu, Yansheng
    [J]. ADVANCES IN DIFFERENCE EQUATIONS, 2016,
  • [24] Stability of Boolean Networks With Delays Using Pinning Control
    Li, Fangfei
    [J]. IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS, 2018, 5 (01): : 179 - 185
  • [25] Pinning Control for the Disturbance Decoupling Problem of Boolean Networks
    Liu, Yang
    Li, Bowen
    Lu, Jianquan
    Cao, Jinde
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2017, 62 (12) : 6595 - 6601
  • [26] PINNING DETECTABILITY OF BOOLEAN CONTROL NETWORKS WITH INJECTION MODE
    Mu, Tiantian
    Feng, Jun-E
    Wang, Biao
    [J]. DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES S, 2022, 15 (11): : 3275 - 3296
  • [27] Minimal pinning control for set stability of Boolean networks
    Wang, Yong
    Zhong, Jie
    Pan, Qinyao
    Li, Ning
    [J]. APPLIED MATHEMATICS AND COMPUTATION, 2024, 465
  • [28] Pinning Control Design for the Synchronization of Two Coupled Boolean Networks
    Li, Fangfei
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2016, 63 (03) : 309 - 313
  • [29] Set stabilization of Boolean networks under pinning control strategy
    Liu, Rongjian
    Lu, Jianquan
    Lou, Jungang
    Alsaedi, Ahmed
    Alsaadi, Fuad E.
    [J]. NEUROCOMPUTING, 2017, 260 : 142 - 148
  • [30] Set Stabilization of Probabilistic Boolean Networks Using Pinning Control
    Li, Fangfei
    Xie, Lihua
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 30 (08) : 2555 - 2561