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
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;
Conference_Titel :
Decision and Control, 1992., Proceedings of the 31st IEEE Conference on
Conference_Location :
Tucson, AZ
Print_ISBN :
0-7803-0872-7
DOI :
10.1109/CDC.1992.371127