Piecewise affine systems approach to control of biological networks

被引:9
|
作者
Imura, Jun-ichi [1 ]
Kashima, Kenji [1 ]
Kusano, Masami [1 ]
Ikeda, Tsukasa [2 ]
Morohoshi, Tomohiro [2 ]
机构
[1] Tokyo Inst Technol, Dept Mech & Environm Informat, Grad Sch Informat Sci & Engn, Meguro Ku, Tokyo 1528552, Japan
[2] Utsunomiya Univ, Dept Mat & Environm Chem, Grad Sch Engn, Utsunomiya, Tochigi 3218585, Japan
基金
日本学术振兴会;
关键词
hybrid system; piecewise affine system; Pseudomonas aeruginosa; controllability; optimal control; PSEUDOMONAS-AERUGINOSA; CLUSTERING TECHNIQUE; HYBRID SYSTEMS; IDENTIFICATION;
D O I
10.1098/rsta.2010.0176
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
In terms of a piecewise affine system representation, which is a kind of hybrid system model, this article discusses a series of approaches to modelling, analysing and synthesizing a biological network such as a gene-regulatory network. First, the input assignment problem, the controllable state set problem (CSP) and the input trajectory generation problem are emphasized as control problems to be addressed for biological networks. Subsequently, after the modelling issue on biological networks developed in the systems and control community is briefly explained, the CSP is described in detail with reference to control of the quorum-sensing system in the pathogen Pseudomonas aeruginosa. Finally, an optimal control design method to the quorum-sensing system is proposed as a solution to the input trajectory generation problem.
引用
收藏
页码:4977 / 4993
页数:17
相关论文
共 50 条
  • [21] Asynchronous Quantized Control of Piecewise-Affine Systems
    Ning, Zepeng
    Feng, Gang
    Yin, Xunyuan
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2024, 69 (01) : 503 - 510
  • [22] Robust Model Predictive Control for Piecewise Affine Systems
    Yuanyuan Zou
    Shaoyuan Li
    [J]. Circuits, Systems & Signal Processing, 2007, 26 : 393 - 406
  • [23] Analysis and control with performance of piecewise affine and hybrid systems
    Ferrari-Trecate, G
    Cuzzola, FA
    Mignone, D
    Morari, M
    [J]. PROCEEDINGS OF THE 2001 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 2001, : 200 - 205
  • [24] Control for synchronization of bistable piecewise affine genetic regulatory networks
    Augier, Nicolas
    Chaves, Madalena
    Gouze, Jean-Luc
    [J]. IFAC PAPERSONLINE, 2021, 54 (17): : 77 - 80
  • [25] A Novel Control Approach for Piecewise-Affine Systems with Quantization in Both Measurement Outputs and Control Inputs
    Shen, Junnan
    Ning, Zepeng
    Cai, Bo
    Han, Rui
    Zhang, Lixian
    [J]. 2016 SEVENTH INTERNATIONAL CONFERENCE ON INTELLIGENT CONTROL AND INFORMATION PROCESSING (ICICIP), 2016, : 111 - 116
  • [26] Piecewise affine neural networks and nonlinear control: stability results
    Lehalle, CA
    Azencott, R
    [J]. NINTH INTERNATIONAL CONFERENCE ON ARTIFICIAL NEURAL NETWORKS (ICANN99), VOLS 1 AND 2, 1999, (470): : 608 - 612
  • [27] Practical stabilization for piecewise-affine systems: A BMI approach
    Kamri, D.
    Bourdais, R.
    Buisson, J.
    Larbes, C.
    [J]. NONLINEAR ANALYSIS-HYBRID SYSTEMS, 2012, 6 (03) : 859 - 870
  • [28] Piecewise Quantization-Dependent Approach to Quantized Stabilization of Piecewise-Affine Systems
    Ning, Zepeng
    Cheng, Yiming
    Li, Zhaojian
    Yin, Xunyuan
    [J]. 2023 AMERICAN CONTROL CONFERENCE, ACC, 2023, : 3578 - 3583
  • [29] Symbolic Models and Control of Discrete-Time Piecewise Affine Systems: An Approximate Simulation Approach
    Pola, Giordano
    Di Benedetto, Maria Domenica
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2014, 59 (01) : 175 - 180
  • [30] A piecewise-affine approach to the analysis of non-linear control laws for pneumatic systems
    Ameur, Omar
    Massioni, Paolo
    Scorletti, Gerard
    Brun, Xavier
    Smaoui, Mohamed
    [J]. 2014 IEEE 53RD ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2014, : 3963 - 3969