State Estimation Nonlinear QDMC with Input-Output Models
dc.contributor.author | Gattu, Gangadhar | en_US |
dc.contributor.author | Zafiriou, Evanghelos | en_US |
dc.contributor.department | ISR | en_US |
dc.date.accessioned | 2007-05-23T09:56:26Z | |
dc.date.available | 2007-05-23T09:56:26Z | |
dc.date.issued | 1994 | en_US |
dc.description.abstract | A 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.extent | 434201 bytes | |
dc.format.mimetype | application/pdf | |
dc.identifier.uri | http://hdl.handle.net/1903/5505 | |
dc.language.iso | en_US | en_US |
dc.relation.ispartofseries | ISR; TR 1994-25 | en_US |
dc.subject | chemical process control | en_US |
dc.subject | optimization | en_US |
dc.subject | Chemical Process Systems | en_US |
dc.title | State Estimation Nonlinear QDMC with Input-Output Models | en_US |
dc.type | Technical Report | en_US |
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