Please use this identifier to cite or link to this item:
|Title:||Sensitivity measures for oscillating systems: Application to mammalian circadian gene network|
Doyle III, F.J.
Phase response curve
|Source:||Taylor, S.R., Gunawan, R., Petzold, L.R., Doyle III, F.J. (2008-01). Sensitivity measures for oscillating systems: Application to mammalian circadian gene network. IEEE Transactions on Automatic Control 53 (SPECIAL ISSUE) : 177-188. ScholarBank@NUS Repository. https://doi.org/10.1109/TAC.2007.911364|
|Abstract:||Vital physiological behaviors exhibited daily by bacteria, plants, and animals are governed by endogenous oscillators called circadian clocks. The most salient feature of the circadian clock is its ability to change its internal time (phase) to match that of the external environment. The circadian clock, like many oscillators in nature, is regulated at the cellular level by a complex network of interacting components. As a complementary approach to traditional biological investigation, we utilize mathematical models and systems-theoretic tools to elucidate these mechanisms. The models are systems of ordinary differential equations exhibiting stable limit cycle behavior. To study the robustness of circadian phase behavior, we use sensitivity analysis. As the standard set of sensitivity tools are not suitable for the study of phase behavior, we introduce a novel tool, the parametric impulse phase response curve. © 2008 IEEE.|
|Source Title:||IEEE Transactions on Automatic Control|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Feb 22, 2018
WEB OF SCIENCETM
checked on Jan 24, 2018
checked on Feb 19, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.