Abstract:
We present an identification algorithm for determining the variables characterizing a circadian rhythm. This method is based on a recursive least square algorithm combine...Show MoreMetadata
Abstract:
We present an identification algorithm for determining the variables characterizing a circadian rhythm. This method is based on a recursive least square algorithm combined with an appropriate observer. It has the advantage of determining all the parameters of a time-varying circadian rhythm without requiring the knowledge of the period. A comparison study with respect to the Lomb & Scargle method has been carried out to show the effectiveness of the proposed method. The presented algorithm has been applied to data collected during a laboratory experiment.
Date of Conference: 21-24 June 2016
Date Added to IEEE Xplore: 08 August 2016
ISBN Information:
School of Mechanical Engineering, Southeast University, Nanjing, China
Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan
School of Mechanical Engineering, Southeast University, Nanjing, China
Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan
School of Mechanical Engineering, Southeast University, Nanjing, China
Contents School of Mechanical Engineering, Southeast University, Nanjing, China
Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan
School of Mechanical Engineering, Southeast University, Nanjing, China
Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan
School of Mechanical Engineering, Southeast University, Nanjing, China
