Robustness analysis of DNA-based biomolecular feedback controllers to parametric and time delay uncertainties

Rucha Sawlekar, Mathias Foo, Declan G. Bates

    Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

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    102 Downloads (Pure)

    Abstract

    — Recent advances in DNA computing have greatly facilitated the design of biomolecular circuitry based on DNA strand displacement reactions. An important issue to consider in the design process for such circuits is the effect of biological and experimental uncertainties on the functionality and reliability of the overall circuit. In the case of biomolecular feedback control circuits, such uncertainties could lead to a range of adverse effects, including achieving wrong concentration levels, sluggish performance and even instability. In this paper, we analyse the robustness properties of two biomolecular feedback controllers; a classical linear proportional integral (PI) and a re-cently proposed nonlinear quasi sliding mode (QSM) controller, subject to uncertainties in the experimentally implemented rates of their underlying chemical reactions, and to variations in accumulative time delays in the process to be controlled. Our results show that the nonlinear QSM controller is significantly more robust against investigated uncertainties, highlighting its potential as a practically implementable biomolecular feedback controller for future synthetic biology applications.

    Publisher Statement: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Original languageEnglish
    Title of host publicationProceedings - 2016 IEEE Biomedical Circuits and Systems Conference, BioCAS 2016
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages548-551
    Number of pages4
    ISBN (Electronic)978-1-5090-2959-4
    ISBN (Print)978-1-5090-2960-0
    DOIs
    Publication statusPublished - 25 Jan 2017
    Event2016 IEEE Biomedical Circuits and Systems Conference - Shanghai, China
    Duration: 17 Oct 201619 Oct 2016

    Publication series

    NameProceedings - 2016 IEEE Biomedical Circuits and Systems Conference, BioCAS 2016

    Conference

    Conference2016 IEEE Biomedical Circuits and Systems Conference
    Abbreviated titleBioCAS
    Country/TerritoryChina
    CityShanghai
    Period17/10/1619/10/16

    Bibliographical note

    © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

    Keywords

    • Process control
    • Delay effects
    • DNA
    • Robustness
    • Chemicals
    • Control systems

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