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.
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 language | English |
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Title of host publication | Proceedings - 2016 IEEE Biomedical Circuits and Systems Conference, BioCAS 2016 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 548-551 |
Number of pages | 4 |
ISBN (Electronic) | 978-1-5090-2959-4 |
ISBN (Print) | 978-1-5090-2960-0 |
DOIs | |
Publication status | Published - 25 Jan 2017 |
Event | 2016 IEEE Biomedical Circuits and Systems Conference - Shanghai, China Duration: 17 Oct 2016 → 19 Oct 2016 |
Publication series
Name | Proceedings - 2016 IEEE Biomedical Circuits and Systems Conference, BioCAS 2016 |
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Conference
Conference | 2016 IEEE Biomedical Circuits and Systems Conference |
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Abbreviated title | BioCAS |
Country/Territory | China |
City | Shanghai |
Period | 17/10/16 → 19/10/16 |
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