Imperial College London
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Prof David Angeli

Faculty of Engineering, Department of Electrical and Electronic Engineering

Professor of Nonlinear Network Dynamics
 
 
 
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Contact

 

+44 (0)20 7594 6283d.angeli Website

 
 
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Location

 

1107CElectrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Sootla:2015:10.1109/ACC.2015.7171815,
author = {Sootla, A and Oyarzun, DA and Angeli, D and Stan, GB},
doi = {10.1109/ACC.2015.7171815},
pages = {3138--3143},
publisher = {IEEE},
title = {Shaping Pulses to Control Bi-Stable Biological Systems},
url = {http://dx.doi.org/10.1109/ACC.2015.7171815},
year = {2015}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - In this paper, we present a framework for shaping pulses to control biological systems, and specifically systems in synthetic biology. By shaping we mean computing the magnitude and the length of a pulse, application of which results in reaching the desired control objective. Hence the control signals have only two parameters, which makes these signals amenable to wetlab implementations. We focus on the problem of switching between steady states in a bistable system. We show how to estimate the set of the switching pulses, if the trajectories of the controlled system can be bounded from above and below by the trajectories of monotone systems. We then generalise this result to systems with parametric uncertainty under some mild assumptions on the set of admissible parameters, thus providing some robustness guarantees. We illustrate the results on some example genetic circuits.
AU  - Sootla,A
AU  - Oyarzun,DA
AU  - Angeli,D
AU  - Stan,GB
DO  - 10.1109/ACC.2015.7171815
EP  - 3143
PB  - IEEE
PY  - 2015///
SP  - 3138
TI  - Shaping Pulses to Control Bi-Stable Biological Systems
UR  - http://dx.doi.org/10.1109/ACC.2015.7171815
UR  - http://hdl.handle.net/10044/1/28660
ER  -
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