Title :
A robust Dynamic Time Warping algorithm for batch trajectory synchronization
Author :
Zhang, Yang ; Edgar, Thomas F.
Author_Institution :
Dept. of Chem. Eng., Univ. of Texas at Austin, Austin, TX
Abstract :
Derivative Dynamic Time Warping (DDTW) is useful in time series alignment to avoid singularity points and reduce the bias of alignment results towards the reference trajectory compare with Dynamic Time Warping (DTW). In order to apply DDTW to an industrial environment, a robust DDTW (RDDTW) algorithm is proposed by combining a moving window least squares procedure with DDTW. The developed algorithm is tested with noisy data and results are compared with those of DDTW and DTW.
Keywords :
batch processing (industrial); least squares approximations; synchronisation; time series; batch trajectory synchronization; industrial environment; moving window least squares procedure; robust dynamic time warping algorithm; time series; Chemical engineering; Filters; Frequency synchronization; Heuristic algorithms; Least squares methods; Noise robustness; Robust control; Semiconductor device noise; Testing; Working environment noise;
Conference_Titel :
American Control Conference, 2008
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-2078-0
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2008.4586928
