Title :
Application of discrete wavelet transform to repetitive control
Author :
Chang, C.M. ; Liu, T.S.
Author_Institution :
Dept. of Mech. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Abstract :
This study aims to apply the discrete wavelet transform to reduce the memory size of a repetitive controller. The repetitive error signal is decomposed. Only the highest-level approximation coefficients in a tree-structured wavelet transform have to be saved and hence the error signal is compressed. The compressed error signal is in turn reconstructed to compensate the control system. Simulation results are presented to demonstrate effectiveness of the proposed method.
Keywords :
computational complexity; control systems; data compression; discrete wavelet transforms; signal reconstruction; control system compensation; discrete wavelet transform; error signal compression; error signal reconstruction; high-level approximation coefficients; memory size reduction; repetitive control; repetitive error signal decomposition; tree-structured wavelet transform; Control systems; Discrete wavelet transforms; Error correction; Fourier transforms; Image coding; Low pass filters; Optical filters; Sampling methods; Size control; Wavelet analysis;
Conference_Titel :
American Control Conference, 2002. Proceedings of the 2002
Print_ISBN :
0-7803-7298-0
DOI :
10.1109/ACC.2002.1025370