Abbadi, M;
Spurgeon, S;
(2018)
Growth Dynamics of Algal-bacterial Cocultures: A Control Engineering Perspective.
In:
2018 European Control Conference (ECC).
(pp. pp. 2344-2349).
IEEE
Preview |
Text
ECC2018_final_as_submitted (1).pdf - Accepted Version Download (747kB) | Preview |
Abstract
Despite internal complexity, algae and bacteria have coexisted since the early stages of evolution. This co- evolution follows relatively simple laws that can be clearly expressed using mathematical models. This paper performs a quantitative analysis, motivated from the perspective of control theory, of a classical model from the literature. The model has been developed using data from an in vivo experimental two-species system where the bacterium Mesorhizobium loti supplies the vitamin B-{12} required for growth to the freshwater green alga Lobomonas rostrata and where the action of the B-{12} riboswitch is known to be a determinant of system behaviour. Analysis of the model both before and after the add-back of nutrients is carried out. A focus is exploring the robustness of the system. The paper first describes a simple model of algal-bacterial growth and analysis is undertaken. The effect of system parameters and control mechanisms is quantified. Motivated by the inherent switching action within the biology, a sliding mode interpretation of the control mechanisms is hypothesized based on knowledge of the maximum carrying capacities for each growth. The results of a range of experiments reported in the literature are used to validate the assertions.
| Type: | Proceedings paper |
|---|---|
| Title: | Growth Dynamics of Algal-bacterial Cocultures: A Control Engineering Perspective |
| Event: | 2018 European Control Conference (ECC), 12-15 June 2018, Limassol, Cyprus |
| ISBN-13: | 9783952426982 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.23919/ECC.2018.8550593 |
| Publisher version: | https://doi.org/10.23919/ECC.2018.8550593 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Microorganisms , Algae , Mathematical model , Switches , Biological system modeling , Carbon |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10067404 |
Loading...
Loading...Loading...Loading...Archive Staff Only
 |
View Item |
