Antithetic integral feedback for the robust control of monostable and oscillatory biomolecular circuits

被引:4
|
作者
Olsman, Noah [1 ]
Forni, Fulvio [2 ]
机构
[1] Harvard Med Sch, Dept Syst Biol, Boston, MA 02215 USA
[2] Univ Cambridge, Dept Engn, Cambridge CB2 1PZ, England
来源
IFAC PAPERSONLINE | 2020年 / 53卷 / 02期
关键词
Synthetic Biology; Antithetic Integral Feedback; Nonlinear Control; Dominance Theory; ADAPTATION; SYSTEMS; CONES;
D O I
10.1016/j.ifacol.2020.12.1176
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Biomolecular feedback systems are now a central application area of interest within control theory. While classical control techniques provide valuable insight into the function and design of both natural and synthetic biomolecular systems, there are certain aspects of biological control that have proven difficult to analyze with traditional methods. To this end, we describe here how the recently developed tools of dominance analysis can be used to gain insight into the nonlinear behavior of the antithetic integral feedback circuit, a recently discovered control architecture which implements integral control of arbitrary biomolecular processes using a simple feedback mechanism. We show that dominance theory can predict both monostability and periodic oscillations in the circuit, depending on the corresponding parameters and architecture. We then use the theory to characterize the robustness of the asymptotic behavior of this circuit in a nonlinear setting. Copyright (C) 2020 The Authors.
引用
收藏
页码:16826 / 16833
页数:8
相关论文
共 50 条
  • [1] Antithetic Integral Feedback Ensures Robust Perfect Adaptation in Noisy Biomolecular Networks
    Briat, Corentin
    Gupta, Ankit
    Khammash, Mustafa
    CELL SYSTEMS, 2016, 2 (01) : 15 - 26
  • [2] Optimal Parameter Tuning of Feedback Controllers with Application to Biomolecular Antithetic Integral Control
    Filo, Maurice
    Khammash, Mustafa
    2019 IEEE 58TH CONFERENCE ON DECISION AND CONTROL (CDC), 2019, : 951 - 957
  • [3] Antithetic Integral Feedback Ensures Robust Perfect Adaptation in Noisy Biomolecular Networks (vol 2, pg 15, 2016)
    Briat, Corentin
    Gupta, Ankit
    Khammash, Mustafa
    CELL SYSTEMS, 2016, 2 (02) : 133 - 133
  • [4] Robust and structural ergodicity analysis of stochastic biomolecular networks involving synthetic antithetic integral controllers
    Briat, Corentin
    Khammash, Mustafa
    IFAC PAPERSONLINE, 2017, 50 (01): : 10918 - 10923
  • [5] Robust homeostasis of cellular cholesterol is a consequence of endogenous antithetic integral control
    Scheepers, Ronel
    Araujo, Robyn P.
    FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY, 2023, 11
  • [6] A universal biomolecular integral feedback controller for robust perfect adaptation
    Aoki, Stephanie K.
    Lillacci, Gabriele
    Gupta, Ankit
    Baumschlager, Armin
    Schweingruber, David
    Khammash, Mustafa
    NATURE, 2019, 570 (7762) : 533 - +
  • [7] A universal biomolecular integral feedback controller for robust perfect adaptation
    Stephanie K. Aoki
    Gabriele Lillacci
    Ankit Gupta
    Armin Baumschlager
    David Schweingruber
    Mustafa Khammash
    Nature, 2019, 570 : 533 - 537
  • [8] An ultrasensitive biomolecular network for robust feedback control
    Samaniego, Christian Cuba
    Franco, Elisa
    IFAC PAPERSONLINE, 2017, 50 (01): : 10950 - 10956
  • [9] Robust ergodicity and tracking in antithetic integral control of stochastic biochemical reaction networks
    Briat, Corentin
    Khammash, Mustafa
    2016 IEEE 55TH CONFERENCE ON DECISION AND CONTROL (CDC), 2016, : 752 - 757
  • [10] Model-based Feedback Control of Synthetic Biomolecular Circuits
    Hori, Yutaka
    2017 INTERNATIONAL SYMPOSIUM ON MICRO-NANOMECHATRONICS AND HUMAN SCIENCE (MHS), 2017,