DocumentCode
2405644
Title
Convergence of the signed output error adaptive identifier
Author
Garnett, Jeffery S. ; Dasgupta, Soura ; Johnson, C.R., Jr.
Author_Institution
Georgia Tech. Res. Inst., Atlanta, GA, USA
fYear
1992
fDate
1992
Firstpage
1750
Abstract
The authors consider an adaptive output error identifier with a signum function in its update kernel. It is shown that the classical strictly positive real (SPR) condition required for the convergence of traditional adaptive identifiers is not enough but that a stronger operator condition called the strict dominant passivity (SDP) condition is needed. An analog of the Kalman Yakubovic Popov lemma is given for the SDP condition, and it is used to outline a convergence proof
Keywords
Lyapunov methods; adaptive control; adaptive filters; convergence; identification; stability criteria; Kalman Yakubovic Popov lemma; Lyapunov function; adaptive output error identifier; convergence; signed output error adaptive identifier; signum function; strict dominant passivity; update kernel; Adaptive filters; Algorithm design and analysis; Cities and towns; Convergence; Equations; Error correction; Kalman filters; Kernel; Signal processing algorithms; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1992., Proceedings of the 31st IEEE Conference on
Conference_Location
Tucson, AZ
Print_ISBN
0-7803-0872-7
Type
conf
DOI
10.1109/CDC.1992.371127
Filename
371127
Link To Document