Nonlinear Closed-Loop System Identification in The presence of Non-stationary Noise Source

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atmire.migration.oldid4522
dc.contributor.advisorWestwick, David
dc.contributor.advisorFoley, Michael
dc.contributor.authorAljamaan, Ibrahim
dc.contributor.committeememberSesay, Abu
dc.contributor.committeememberBehjat, Laleh
dc.contributor.committeememberPieper, Jeff
dc.contributor.committeememberHuang, Biao
dc.date.accessioned2016-06-22T22:07:35Z
dc.date.available2016-06-22T22:07:35Z
dc.date.issued2016
dc.date.submitted2016en
dc.description.abstractIn this dissertation, nonlinear identi fication approaches are presented that construct Wienerand Hammerstein models. These are block-oriented models consisting of a memoryless nonlinearity either preceded or followed by a linear filter, respectively. The algorithms were developed to handle several practical challenges common in chemical process control applications. These challenges include systems running in closed-loop, incorporating non-stationary process disturbances, and with possibly unstable plant dynamics. Identifi cation methods based on the prediction error method are developed to address these challenges. One of the main factors required for successful application of PEM algorithms is having a good initial estimate of the system under study. In this work, Instrumental Variable scheme is used to initialize the Hammerstein models, and a non-iterative overparameterized algorithm is developed to initialize the Wiener models. In all cases, the algorithms are developed theoretically, and then validated using Monte Carlo simulations. The closed-loop Hammerstein identifi cation algorithms are validated using data from differential equation based simulation of a continuous stirred tank reactor.en_US
dc.identifier.citationAljamaan, I. (2016). Nonlinear Closed-Loop System Identification in The presence of Non-stationary Noise Source (Doctoral thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/27117en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/27117
dc.identifier.urihttp://hdl.handle.net/11023/3070
dc.language.isoeng
dc.publisher.facultyGraduate Studies
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subjectEngineering--Electronics and Electrical
dc.subject.classificationControl Systemsen_US
dc.subject.classificationSystem Identificationen_US
dc.subject.classificationNonlinear Closed Loop Modelen_US
dc.subject.classificationNonstationary Noiseen_US
dc.subject.classificationWiener Modelen_US
dc.subject.classificationHammerstein Modelen_US
dc.titleNonlinear Closed-Loop System Identification in The presence of Non-stationary Noise Source
dc.typedoctoral thesis
thesis.degree.disciplineElectrical and Computer Engineering
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameDoctor of Philosophy (PhD)
ucalgary.item.requestcopytrue
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