Circadian rhythm modeling, estimation and control based on dynamic lighting

Authors
Zhang, Jiaxiang
ORCID
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Other Contributors
Wen, John T.
Julius, Anak Agung
Karlicek, Robert F.
Figueiro, Mariana Gross
Issue Date
2013-08
Keywords
Electrical engineering
Degree
PhD
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
Full Citation
Abstract
For closed loop feedback control, one critical link is to estimate the argument of the circadian signal. The challenges of the signal processing include non-sinusoidal waveform, unknown signal parameters, slowly time varying parameters and recursive estimation. We develop an adaptive signal processing algorithm which has the potential to estimate the circadian signal argument in real time. Compared with the existing algorithms, our approach can adaptively process semi-periodic signals with high order harmonics and DC bias, and are theoretically proved to be locally stable. The algorithm is tested on synthetic signals and Drosophila locomotor activity data.
Description
August 2013
School of Engineering
Department
Dept. of Electrical, Computer, and Systems Engineering
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection
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