Artículo
Model predictive control techniques for hybrid systems
Autor/es | Camacho, Eduardo F.
Rodríguez Ramírez, Daniel Limón Marruedo, Daniel Muñoz de la Peña Sequedo, David Alamo, Teodoro |
Departamento | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática |
Fecha de publicación | 2010 |
Fecha de depósito | 2020-03-04 |
Publicado en |
|
Resumen | This paper describes the main issues encountered when applying model predictive control to hybrid processes. Hybrid model predictive control (HMPC) is a research field non-fully developed with many open challenges. The ... This paper describes the main issues encountered when applying model predictive control to hybrid processes. Hybrid model predictive control (HMPC) is a research field non-fully developed with many open challenges. The paper describes some of the techniques proposed by the research community to overcome the main problems encountered. Issues related to the stability and the solution of the optimization problem are also discussed. The paper ends by describing the results of a benchmark exercise in which several HMPC schemes were applied to a solar air conditioning plant. |
Identificador del proyecto | DPI2007-66718-C04-01
DPI2008-05818 |
Cita | Fernández Camacho, E., Rodríguez Ramírez, D., Limón Marruedo, D., Muñoz de la Peña Sequedo, D. y Álamo, T. (2010). Model predictive control techniques for hybrid systems. Annual Reviews in Control, 34 (1), 21-31. |
Ficheros | Tamaño | Formato | Ver | Descripción |
---|---|---|---|---|
HMPC_EF_CamachoV2.pdf | 631.2Kb | [PDF] | Ver/ | |