Circadian rhythm modeling, estimation and control based on dynamic lighting
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Authors
Zhang, Jiaxiang
Issue Date
2013-08
Type
Electronic thesis
Thesis
Thesis
Language
ENG
Keywords
Electrical engineering
Alternative Title
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
School of Engineering
Full Citation
Publisher
Rensselaer Polytechnic Institute, Troy, NY