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Proceedings Paper

Adaptive inverse control
Author(s): Bernard Widrow
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Paper Abstract

Adaptive control is seen as a two part problem control of plant dynamics and control of plant noise. The two parts are treated separately. An unknown plant will track an input command signal if the plant is driven by a controller whose transfer function approximates the inverse of the plant transfer function. An adaptive inverse identification process can be used to obtain a stable controller even if the plant is nonminimum phase. A model reference version of this idea allows system dynamics to closely approximate desired reference model dynamics. No direct feedback is used except that the plant output is monitored and utilized in order to adjust the paramters of the controller. Control of internal plant noise is accomplished with an optimal adaptive noise canceller. The canceller does not affect plant dynamics but feeds back plant noise in a way that minimizes plant output noise power. Key words. Adaptive control modeling identification inverse modeling noise cancelling deconvolution adaptive inverse control.

Paper Details

Date Published: 1 August 1990
PDF: 9 pages
Proc. SPIE 1294, Applications of Artificial Neural Networks, (1 August 1990); doi: 10.1117/12.21152
Show Author Affiliations
Bernard Widrow, Stanford Univ. (United States)

Published in SPIE Proceedings Vol. 1294:
Applications of Artificial Neural Networks
Steven K. Rogers, Editor(s)

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