System identification of circadian clock in plant Arabidopsis thaliana

Mathias Foo, Hee Young Yoo, Pan Jun Kim*

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

2 Citations (Scopus)

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 languageEnglish
Title of host publicationICCAS 2013 - 2013 13th International Conference on Control, Automation and Systems
PublisherIEEE
Pages241-246
Number of pages6
ISBN (Electronic)9788993215052
DOIs
Publication statusPublished - Oct 2013
Event2013 13th International Conference on Control, Automation and Systems, ICCAS 2013 - Gwangju, Korea, Republic of
Duration: 20 Oct 201323 Oct 2013
https://ieeexplore.ieee.org/xpl/conhome/6685219/proceeding

Publication series

NameInternational Conference on Control, Automation and Systems (ICCAS)
ISSN (Print)2093-7121

Conference

Conference2013 13th International Conference on Control, Automation and Systems, ICCAS 2013
Country/TerritoryKorea, Republic of
CityGwangju
Period20/10/1323/10/13
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

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