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