State Estimation Nonlinear QDMC with Input-Output Models

dc.contributor.authorGattu, Gangadharen_US
dc.contributor.authorZafiriou, Evanghelosen_US
dc.contributor.departmentISRen_US
dc.date.accessioned2007-05-23T09:56:26Z
dc.date.available2007-05-23T09:56:26Z
dc.date.issued1994en_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 [5] to nonlinear models identified based on input-output information. The algorithm preserves the computational advantages of [5] 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.extent434201 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/5505
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 1994-25en_US
dc.subjectchemical process controlen_US
dc.subjectoptimizationen_US
dc.subjectChemical Process Systemsen_US
dc.titleState Estimation Nonlinear QDMC with Input-Output Modelsen_US
dc.typeTechnical Reporten_US

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