DocumentCode :
3073321
Title :
Adaptive signal processing for adaptive control
Author :
Widrow, Bernard ; Walach, Eugene
Author_Institution :
Stanford University, Stanford, CA
Volume :
9
fYear :
1984
fDate :
30742
Firstpage :
191
Lastpage :
194
Abstract :
A few of the well established methods of adaptive signal processing are modified and extended for application to adaptive control. An unknown plant will track an input command signal if the plant is preceded by a controller whose transfer function approximates the inverse of the plant transfer function. An adaptive inverse modeling process can be used to obtain a stable controller, whether the plant is minimum or non-minimum phase. No direct feedback is involved. However the system output is monitored and utilized in order to adjust the parameters of the controller. The proposed method is a promising new approach to the design of adaptive control systems.
Keywords :
Adaptive control; Adaptive filters; Adaptive signal processing; Control system synthesis; Delay effects; Inverse problems; Least squares approximation; Programmable control; Stability; Transversal filters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '84.
Type :
conf
DOI :
10.1109/ICASSP.1984.1172527
Filename :
1172527
Link To Document :
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