Model predictive control suitable for closed-loop re-identification.

The main problem of a closed-loop re-identification procedure is that, in general, the dynamic control and identification objectives are conflicting. In fact, to perform a suitable identification, a persistent excitation of the system is needed, while the control objective is to stabilize the system...

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Detalles Bibliográficos
Autores: González, Alejandro Hernán, Ferramosca, Antonio, Bustos, Germán Andrés, Marchetti, Jacinto Luis, Fiacchini, Mirko, Odloak, Darci
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2014
País:Argentina
Institución:Consejo Nacional de Investigaciones Científicas y Técnicas
Repositorio:CONICET Digital (CONICET)
Idioma:inglés
OAI Identifier:oai:ri.conicet.gov.ar:11336/35845
Acceso en línea:http://hdl.handle.net/11336/35845
Access Level:acceso abierto
Palabra clave:Model Predictive Control
Closed-Loop Identification
Target Set Control
Persistent Excitation
https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
Descripción
Sumario:The main problem of a closed-loop re-identification procedure is that, in general, the dynamic control and identification objectives are conflicting. In fact, to perform a suitable identification, a persistent excitation of the system is needed, while the control objective is to stabilize the system at a given equilibrium point. However, a generalization of the concept of stability, from punctual stability to (invariant) set stability, allows for a flexibility that can be used to avoid the conflict between these objectives. Taking into account that an invariant target set includes not only a stationary component, but also a transient one, the system could be excited without deteriorating the stability of the closed-loop. In this work, a MPC controller is proposed that ensures the stability of invariant sets at the same time that a signal suitable for closedloop re-identification is generated. Several simulation results show the propose controller formulation properties.