New Method for Disturbance Decoupling of Boolean Networks

被引:33
作者
Feng, Jun-E [1 ]
Li, Yiliang [1 ]
Fu, Shihua [2 ,3 ]
Lyu, Hongli [4 ]
机构
[1] Shandong Univ, Sch Math, Jinan 250100, Peoples R China
[2] Liaocheng Univ, Sch Math Sci, Liaocheng 252000, Shandong, Peoples R China
[3] Liaocheng Univ, Res Ctr Semitensor Prod Matrices Theory & Applica, Liaocheng 252000, Shandong, Peoples R China
[4] Lakehead Univ, Sch Elect & Comp Engn, Thunder Bay, ON P7B 5J2, Canada
基金
中国国家自然科学基金;
关键词
State feedback; Mathematical models; Graphics; Vehicle dynamics; Robustness; Robot kinematics; Organisms; Boolean control networks (BCNs); Boolean networks (BNs); disturbance decoupling; semi-tensor product (STP); state feedback controller; truth matrix; SEMI-TENSOR PRODUCT; CONTROLLABILITY; STABILITY; STABILIZATION; OBSERVABILITY;
D O I
10.1109/TAC.2022.3161609
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 coordinate transformation technique is a traditional method for solving the disturbance decoupling problem (DDP) of Boolean control networks (BCNs). But under this technique, the obtained conditions are not necessary for the solvability of DDP of original systems. Thus, this article investigates the DDP of Boolean networks (BNs) and BCNs in a new perspective. Based on the new definition of disturbance decoupling, the one-step evolutionary dynamic of states of BNs, shown as a table, is presented for solving the DDP. Besides, a matrix discriminant is introduced to use MATLAB to test whether a BN is disturbance decoupled. For discussing the solvability of DDP of BCNs, a truth matrix is constructed to provide a necessary and sufficient condition and find all possible state feedback controllers. It is worth noting that the computation complexity of the main results is lower than that of the existing results. Furthermore, two examples are given to show the validity and advantages of the main results.
引用
收藏
页码:4794 / 4800
页数:7
相关论文
共 42 条
  • [1] Algorithmic and Stochastic Representations of Gene Regulatory Networks and Protein-Protein Interactions
    Alexiou, Athanasios
    Chatzichronis, Stylianos
    Perveen, Asma
    Hafeez, Abdul
    Ashraf, Ghulam Md.
    [J]. CURRENT TOPICS IN MEDICINAL CHEMISTRY, 2019, 19 (06) : 413 - 425
  • [2] Bonzon E, 2006, FRONT ARTIF INTEL AP, V141, P265
  • [3] Robustness as an evolutionary principle
    Bornholdt, S
    Sneppen, K
    [J]. PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2000, 267 (1459) : 2281 - 2286
  • [4] Observability analysis of combined finite automata based upon semi-tensor product of matrices approach
    Chen, Zengqiang
    Zhou, Yingrui
    Zhang, Zhipeng
    Liu, Zhongxin
    [J]. TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2021, 43 (03) : 717 - 727
  • [5] Modeling, Analysis and Control of Networked Evolutionary Games
    Cheng, Daizhan
    He, Fenghua
    Qi, Hongsheng
    Xu, Tingting
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2015, 60 (09) : 2402 - 2415
  • [6] Stability and stabilization of Boolean networks
    Cheng, Daizhan
    Qi, Hongsheng
    Li, Zhiqiang
    Liu, Jiang B.
    [J]. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2011, 21 (02) : 134 - 156
  • [7] Disturbance Decoupling of Boolean Control Networks
    Cheng, Daizhan
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2011, 56 (01) : 2 - 10
  • [8] Realization of Boolean control networks
    Cheng, Daizhan
    Li, Zhiqiang
    Qi, Hongsheng
    [J]. AUTOMATICA, 2010, 46 (01) : 62 - 69
  • [9] Controllability and observability of Boolean control networks
    Cheng, Daizhan
    Qi, Hongsheng
    [J]. AUTOMATICA, 2009, 45 (07) : 1659 - 1667
  • [10] Cheng DH, 2011, COMMUN CONTROL ENG, P1, DOI 10.1007/978-0-85729-097-7