Frequency Domain Design of Robustly Stable Constrained Model Predictive Controllers

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dc.contributor.authorChiou, Hung-Wenen_US
dc.contributor.authorZafiriou, Evanghelosen_US
dc.contributor.departmentISRen_US
dc.date.accessioned2007-05-23T09:54:24Z
dc.date.available2007-05-23T09:54:24Z
dc.date.issued1993en_US
dc.description.abstractThe robust stability analysis of Constrained Model Predictive Control (CMPC) for linear time invariant and openloop stable processes is the main topic of this paper. Based on the CMPC algorithm, the feedback controller is a piecewise linear operator because of the constraints. This piecewise linear operator can be thought of as an array of linear feedback controllers in parallel, handling different types of predicted active constraint situations. Each term in the linear operator corresponding to the predicted active constraint situation can be decomposed to have an uncertainty block. Hence, the linear operator can be written as a linear closed-form with uncertainty block inside. According to the linear robust stability analysis method, the robust stability of CMPC can be analyzed and the computer aided off-line tuning for the stability of CMPC can also be developed by solving a minimum maximum problem based on the stability analysis method. Some examples are given to show the feasibility of the analysis and tuning methods.en_US
dc.format.extent461705 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/5411
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 1993-66en_US
dc.subjectchemical process controlen_US
dc.subjectpredictive controlen_US
dc.subjectcomputer aided designen_US
dc.subjectoptimal controlen_US
dc.subjectrobust controlen_US
dc.subjectstabilityen_US
dc.subjectChemical Process Systemsen_US
dc.titleFrequency Domain Design of Robustly Stable Constrained Model Predictive Controllersen_US
dc.typeTechnical Reporten_US

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