Pseudo-derivative feedback-based identification of unstable processes with application to bioreactors

Pasgianos, GD; Syrcos, G; Arvanitis, KG; Sigrimis, NA

dc.contributor.author	Pasgianos, GD	en
dc.contributor.author	Syrcos, G	en
dc.contributor.author	Arvanitis, KG	en
dc.contributor.author	Sigrimis, NA	en
dc.date.accessioned	2014-03-01T02:42:19Z
dc.date.available	2014-03-01T02:42:19Z
dc.date.issued	2003	en
dc.identifier.issn	0168-1699	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/30942
dc.subject	Identification	en
dc.subject	Process control	en
dc.subject	Pseudo-derivative feedback	en
dc.subject	Unstable models	en
dc.subject.classification	Agriculture, Multidisciplinary	en
dc.subject.classification	Computer Science, Interdisciplinary Applications	en
dc.subject.other	Adaptive systems	en
dc.subject.other	Agriculture	en
dc.subject.other	Closed loop control systems	en
dc.subject.other	Control equipment	en
dc.subject.other	Intelligent agents	en
dc.subject.other	Linguistics	en
dc.subject.other	Dead-time processes	en
dc.subject.other	Bioreactors	en
dc.subject.other	bioreactor	en
dc.title	Pseudo-derivative feedback-based identification of unstable processes with application to bioreactors	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1016/S0168-1699(03)00008-5	en
heal.identifier.secondary	http://dx.doi.org/10.1016/S0168-1699(03)00008-5	en
heal.language	English	en
heal.publicationDate	2003	en
heal.abstract	The use of a pseudo-derivative feedback structure for closed-loop parameter identification of unstable first-order plus dead-time processes is investigated in this paper. Two alternative identification methods are presented. The proposed identification methods require small computational effort and they are particularly useful for on-line applications. The new methods and the simpler structure of the pseudo-derivative feedback controller used ensure considerably smoother response (i.e., less overshoot), than other well-known identification methods based on standard PI/PID controllers, and better accuracy along with simplicity in implementation. The synergism of intelligent tools, which can be based on functional and linguistic rules for advanced decisions at the supervisory level, with low-level process PD-0F controllers and identifiers, can provide adaptive systems. These can optimize for both the long-term objectives and the short-term process dynamics. (C) 2003 Elsevier Science B.V. All rights reserved.	en
heal.publisher	ELSEVIER SCI LTD	en
heal.journalName	Computers and Electronics in Agriculture	en
dc.identifier.doi	10.1016/S0168-1699(03)00008-5	en
dc.identifier.isi	ISI:000185173100002	en
dc.identifier.volume	40	en
dc.identifier.issue	1-3	en
dc.identifier.spage	5	en
dc.identifier.epage	25	en