”Natural” Iterative Learning Control for Uncertain LTV Dynamic System

dc.creator	Lazarević, Mihailo
dc.date.accessioned	2023-03-10T17:32:55Z
dc.date.available	2023-03-10T17:32:55Z
dc.date.issued	2002
dc.identifier.isbn	86-80135-69-0
dc.identifier.uri	https://machinery.mas.bg.ac.rs/handle/123456789/5702
dc.description.abstract	The paper presents a new algorithm for iterative learning control (ILC) called “natural” ILC. NILC is developed on the basis of biological analog - principle of self-adaptability in feedback configuration. Sufficient conditions for the convergence of a new type of learning control algorithm for a class of uncertain linear time-varying system- are presented.	sr
dc.language.iso	en	sr
dc.publisher	Faculty of Electronic Engineering, Niš, Yugoslavia	sr
dc.publisher	Faculty of Communications and Communication Technologies, Sofia, Bulgaria	sr
dc.publisher	Faculty of Technical Sciences, Bitola, Macedonia	sr
dc.rights	closedAccess	sr
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/
dc.source	Proceedings of ICEST XXXVII Internacional Scientific Conference on Information, Communication and Energy and Technologies,Niš, October,2-4,2002	sr
dc.subject	learning control	sr
dc.subject	iterative	sr
dc.subject	principle of selfadaptability	sr
dc.title	”Natural” Iterative Learning Control for Uncertain LTV Dynamic System	sr
dc.type	conferenceObject	sr
dc.rights.license	BY	sr
dc.citation.epage	356
dc.citation.spage	353
dc.identifier.rcub	https://hdl.handle.net/21.15107/rcub_machinery_5702
dc.type.version	publishedVersion	sr