Title :
On order overspecification for a direct adaptive pole placer
Author :
Johnson, C. ; Elliott, H.
Author_Institution :
Cornell University, Ithaca, NY
Abstract :
Indirect adaptive pole placers combining plant parameter estimation and algebraic solution of the pole placement problem require, at least, a minimal convergent plant parameterization to avoid requesting infinite controller gains. This is impossible if the plant order is overspecified. A new direct adaptive pole placer, based on the inclusion by Elliott of the Bezout identity in the prediction error, is shown in this paper to, at least sometimes, bypass this restriction.
Keywords :
Adaptive control; Parameter estimation; Programmable control; State feedback;
Conference_Titel :
Decision and Control including the Symposium on Adaptive Processes, 1981 20th IEEE Conference on
Conference_Location :
San Diego, CA, USA
DOI :
10.1109/CDC.1981.269262