DocumentCode
2319166
Title
Modeling fragment coming down curves using pulse response sequence algorithm
Author
Feng-Jih Wu ; Li-Ming Chen ; Jen-Tsan Kuan ; Chih-Ju Chou ; Ying Lu
Author_Institution
Dept. of Electr. Eng., Nat. Taipei Univ. of Technol., Taipei, Taiwan
Volume
5
fYear
2012
fDate
15-17 July 2012
Firstpage
1942
Lastpage
1946
Abstract
This study presents a new application approach to evaluate the parameters of fragment coming down curves and acquire the corresponding fitting curves. The approach is based on a system identification method known as the impulse response sequence algorithm to fit the fragment coming down curves. The impulse response sequence algorithm generates a state space description of the fragment coming down curves directly from its available input-output data. Comparing to the static mathematical curve model, the dynamic state space model gives more exact fit for all types of fragment coming down curves. This paper demonstrates the feasibility of decomposing the fragment coming down curves into two groups of signal components such as smoothed components and oscillation components. According to the characteristics of each component, the unwanted components are removed to construct the mean-curve with very little or no distortion corresponding to the original signal. Results obtained from the mathematical calculations and the measurements of real fragment coming down curves show its applicability.
Keywords
curve fitting; identification; sequences; state-space methods; transient response; dynamic state space model; fitting curves; fragment coming down curves; impulse response sequence algorithm; state space description; static mathematical curve model; system identification; Abstracts; Fitting; Mathematical model; Fragment coming down curves; Mean curve; Pulse response sequence algorithm; State space models;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2012 International Conference on
Conference_Location
Xian
ISSN
2160-133X
Print_ISBN
978-1-4673-1484-8
Type
conf
DOI
10.1109/ICMLC.2012.6359673
Filename
6359673
Link To Document