Please use this identifier to cite or link to this item: https://doi.org/10.1016/0005-1098(91)90110-N
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dc.titleReduced order process modelling in self-tuning control
dc.contributor.authorHang, C.C.
dc.contributor.authorChin, D.
dc.date.accessioned2014-06-17T06:53:50Z
dc.date.available2014-06-17T06:53:50Z
dc.date.issued1991
dc.identifier.citationHang, C.C., Chin, D. (1991). Reduced order process modelling in self-tuning control. Automatica 27 (3) : 529-534. ScholarBank@NUS Repository. https://doi.org/10.1016/0005-1098(91)90110-N
dc.identifier.issn00051098
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/62693
dc.description.abstractOne major objection to the model-based auto-tuning and self-tuning control is based on the observation by Bristol that a reduced order model being identified would not yield good control of the actual high order process. In this paper we have re-examined the work of Bristol and argued that this observations could not be generalized. We then consider reduced order modelling which incorporates a deadtime element. It is shown that the deadtime could help to provide a close match of the freqency response near the critical frequencies. Extensive simulation studies have also confirmed that reduced order modelling with deadtime included could be an adequate model for practical self-tuning control.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/0005-1098(91)90110-N
dc.sourceScopus
dc.subjectDeadtime
dc.subjectFrequency response
dc.subjectModel based self-tuning control
dc.subjectReduced order model
dc.typeArticle
dc.contributor.departmentELECTRICAL ENGINEERING
dc.description.doi10.1016/0005-1098(91)90110-N
dc.description.sourcetitleAutomatica
dc.description.volume27
dc.description.issue3
dc.description.page529-534
dc.description.codenATCAA
dc.identifier.isiutA1991FL61100009
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