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

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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 http://hdl.handle.net/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

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