Abstract
The use of mathematical models in describing the dynamics of circadian clock in the plant Arabidopsis thaliana is gaining popularity. Models used to describe the plant circadian clock are usually derived from laws of physics and they comprise complex nonlinear ordinary differential equations. In this paper, we build mathematical models of the core loop of plant circadian clock using system identification techniques. This core loop involves two main genes (proteins), i.e. LHY/CCA1 and TOC1. Models obtained using system identification techniques are usually simple, sufficient to describe the relevant dynamics of the system and often are able to provide physical interpretation about the system. The obtained models through system identification can be useful for control design and prediction in the event for which we want to do phenotype manipulation and for understanding the behaviour of the system respectively.
Original language | English |
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Title of host publication | ICCAS 2013 - 2013 13th International Conference on Control, Automation and Systems |
Publisher | IEEE |
Pages | 241-246 |
Number of pages | 6 |
ISBN (Electronic) | 9788993215052 |
DOIs | |
Publication status | Published - Oct 2013 |
Event | 2013 13th International Conference on Control, Automation and Systems, ICCAS 2013 - Gwangju, Korea, Republic of Duration: 20 Oct 2013 → 23 Oct 2013 https://ieeexplore.ieee.org/xpl/conhome/6685219/proceeding |
Publication series
Name | International Conference on Control, Automation and Systems (ICCAS) |
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ISSN (Print) | 2093-7121 |
Conference
Conference | 2013 13th International Conference on Control, Automation and Systems, ICCAS 2013 |
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Country/Territory | Korea, Republic of |
City | Gwangju |
Period | 20/10/13 → 23/10/13 |
Internet address |
Scopus Subject Areas
- Artificial Intelligence
- Computer Science Applications
- Control and Systems Engineering
- Electrical and Electronic Engineering
User-Defined Keywords
- Biological system
- Circadian clock
- System identification