Reference : An adaptive high-gain observer for nonlinear systems

	Document type :	Scientific congresses and symposiums : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Multidisciplinary, general & others
	To cite this reference:	http://hdl.handle.net/2268/15079

Title :	An adaptive high-gain observer for nonlinear systems
Language :	English
Author, co-author :	Bullinger, Eric [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Méthodes computationnelles pour la biologie systémique >]
	Allgöwer, Frank [> > > >]
Publication date :	1997
Main document title :	36th IEEE Conf. on Decision and Control
Pages :	4348–4353
Peer reviewed :	Yes
On invitation :	No
Audience :	International
Event name :	Proc. of the 36th IEEE Conf. on Decision and Control
Event date :	December 10-12, 1997
Event place (city) :	San Diego
Event country :	USA
Abstract :	[en] In this paper we present a high-gain observer for a general class of nonlinear SISO systems for which the high-gain parameter is determined on-line in an adaptive fashion. The adaptation scheme is simple and universal in the sense that it is independent of the system the observer is designed for. We prove that the observer output error becomes smaller than a user specified bound for large times and that the adaptation converges. The assumptions required for the adaptive high-gain observer are the same as for the nonadaptive high-gain observer, namely that the system is uniformly observable for any u(t)
Target :	Researchers
Permalink :	http://hdl.handle.net/2268/15079
DOI :	10.1109/CDC.1997.649541
Commentary :	©1997 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

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