State Estimation Nonlinear QDMC with Input-Output Models

dc.contributor.authorGattu, Gangadharen_US
dc.contributor.authorZafiriou, Evanghelosen_US
dc.contributor.departmentISRen_US
dc.date.accessioned2007-05-23T09:54:25Z
dc.date.available2007-05-23T09:54:25Z
dc.date.issued1993en_US
dc.description.abstractA State Estimation NLQDMC algorithm is presented for use with nonlinear input-output models. The proposed algorithm extends the state estimation NLQDMC (Gattu and Zafiriou, 1992a) to nonlinear models identified based on input-output information. The algorithm preserves the computational advantages when compared to the other algorithms based on nonlinear programming techniques. The illustrating example demonstrates the usage of tuning parameters and points out the benefits and shortcomings of the algorithm.en_US
dc.format.extent485974 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/5412
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 1993-67en_US
dc.subjectchemical process controlen_US
dc.subjectpredictive controlen_US
dc.subjectChemical Process Systemsen_US
dc.titleState Estimation Nonlinear QDMC with Input-Output Modelsen_US
dc.typeTechnical Reporten_US

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