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dc.contributor.authorYu, W
dc.contributor.authorWilson, DI
dc.contributor.authorYoung, BR
dc.date.accessioned2012-12-16T22:14:50Z
dc.date.accessioned2012-12-21T08:28:13Z
dc.date.available2012-12-16T22:14:50Z
dc.date.available2012-12-21T08:28:13Z
dc.date.copyright2012
dc.date.issued2012-12-17
dc.identifier.citationCanadian Journal of Chemical Engineering, vol.90(6), pp.1442 - 1449
dc.identifier.issn0008-4034
dc.identifier.issn1939-019X
dc.identifier.urihttp://hdl.handle.net/10292/4964
dc.description.abstractAssessing the quality of industrial control loops is an important auditing task for the control engineer. However, there are complications when considering the ubiquitous nonlinearities present in many industrial control loops. If one simply ignores these nonlinearities, there is the danger of over-estimating the performance of the control loop in rejecting disturbances and thereby possibly overlooking loops that need attention. To address this problem, several techniques have been recently developed to extend the control performance assessment (CPA) of single input/single output linear systems to nonlinear systems. This article surveys these nonlinear CPA techniques and compares their performances using three case studies. These results can be used to guide control engineers to select the most suitable CPA techniques for their particular applications.
dc.publisherWiley-Blackwell
dc.relation.replaceshttp://hdl.handle.net/10292/4923
dc.relation.replaces10292/4923
dc.rightsCopyright © 2012 John Wiley & Sons. All rights reserved. Authors retain the right to place his/her pre-publication version of the work on a personal website or institutional repository. This article may not exactly replicate the final version published in (please see citation) as it is not a copy of this record. An electronic version of this article can be found online at: (Please see Publisher’s Version)
dc.subjectProcess control
dc.subjectProcess systems engineering
dc.subjectModelling and simulation studies
dc.titleA comparison of nonlinear control performance assessment techniques for nonlinear processes
dc.typeJournal Article
dc.rights.accessrightsOpenAccess
dc.identifier.doi10.1002/cjce.21733
aut.relation.endpage1449
aut.relation.issue6
aut.relation.startpage1442
aut.relation.volume90
pubs.elements-id132193


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