Use of Back-off Computation in Multilevel MPC
The desired operating point in Model Predictive Control is determined by a local steady-state optimization, which may be based on an economic objective. In this paper we proposes the solution of a linear dynamic back-off problem to obtain a hierarchical scheme that ensures feasible operation in des...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2003 |
| País: | Argentina |
| Institución: | Consejo Nacional de Investigaciones Científicas y Técnicas |
| Repositorio: | CONICET Digital (CONICET) |
| Idioma: | inglés |
| OAI Identifier: | oai:ri.conicet.gov.ar:11336/104084 |
| Acceso en línea: | http://hdl.handle.net/11336/104084 |
| Access Level: | acceso abierto |
| Palabra clave: | MODEL PREDICTIVE CONTROL PROCESS OPTIMIZATION https://purl.org/becyt/ford/2.2 https://purl.org/becyt/ford/2 |
| Sumario: | The desired operating point in Model Predictive Control is determined by a local steady-state optimization, which may be based on an economic objective. In this paper we proposes the solution of a linear dynamic back-off problem to obtain a hierarchical scheme that ensures feasible operation in despite of disturbances. This is performed by computing the critical disturbances and expanding the optimziation problem to ensure the existence of a control action that ensures the rejection of each perturbation. |
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