State Observer Design for Delayed Genetic Regulatory Networks
Joint Authors
Tian, Li-Ping
Wu, Fang-Xiang
Mohammadbagheri, Amin
Wang, Zhi-Jun
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-22
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Genetic regulatory networks are dynamic systems which describe the interactions among gene products (mRNAs and proteins).
The internal states of a genetic regulatory network consist of the concentrations of mRNA and proteins involved in it, which are very helpful in understanding its dynamic behaviors.
However, because of some limitations such as experiment techniques, not all internal states of genetic regulatory network can be effectively measured.
Therefore it becomes an important issue to estimate the unmeasured states via the available measurements.
In this study, we design a state observer to estimate the states of genetic regulatory networks with time delays from available measurements.
Furthermore, based on linear matrix inequality (LMI) approach, a criterion is established to guarantee that the dynamic of estimation error is globally asymptotically stable.
A gene repressillatory network is employed to illustrate the effectiveness of our design approach.
American Psychological Association (APA)
Tian, Li-Ping& Wang, Zhi-Jun& Mohammadbagheri, Amin& Wu, Fang-Xiang. 2014. State Observer Design for Delayed Genetic Regulatory Networks. Computational and Mathematical Methods in Medicine،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-496711
Modern Language Association (MLA)
Tian, Li-Ping…[et al.]. State Observer Design for Delayed Genetic Regulatory Networks. Computational and Mathematical Methods in Medicine No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-496711
American Medical Association (AMA)
Tian, Li-Ping& Wang, Zhi-Jun& Mohammadbagheri, Amin& Wu, Fang-Xiang. State Observer Design for Delayed Genetic Regulatory Networks. Computational and Mathematical Methods in Medicine. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-496711
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-496711