A New Natural Iterative Learning Control of a Process Plant with Unknown Pure Time-Delay

dc.creator	Lazarević, Mihailo
dc.creator	Krstić, Dimitrije
dc.date.accessioned	2023-03-14T07:03:12Z
dc.date.available	2023-03-14T07:03:12Z
dc.date.issued	2000
dc.identifier.uri	https://machinery.mas.bg.ac.rs/handle/123456789/6101
dc.description.abstract	The paper presents a new algorithm for iterative learning control (ILC) called “natural” ILC. ILC is developed on the basis of biological analog - principle of self-adaptability. Sufficient conditions for the convergence of a new type of learning control algorithm for a class of time-varying delayed uncertain, non-linear system - a process plant with unknown pure time delay are presented. A new algorithm has benefits which include control a object with unknown time-delay, improving the properties of tracking as well as speed of convergence ILC.	sr
dc.language.iso	en	sr
dc.publisher	Prague: Czech society of chemical engineering	sr
dc.rights	closedAccess	sr
dc.source	Proceedings of 14th International Congress of Chemical and Process Engineering, CHISA 2000,27-31,August, 2000,Praha, Czech Republic, P7.13-432.	sr
dc.subject	iterative learning control	sr
dc.subject	process plant	sr
dc.subject	unknown time-delay	sr
dc.subject	principle of self-adaptability	sr
dc.title	A New Natural Iterative Learning Control of a Process Plant with Unknown Pure Time-Delay	sr
dc.type	conferenceObject	sr
dc.rights.license	ARR	sr
dc.citation.epage	7
dc.citation.spage	P7.13-432 1
dc.identifier.rcub	https://hdl.handle.net/21.15107/rcub_machinery_6101
dc.type.version	publishedVersion	sr