System identification of a class of Wiener systems with hysteretic nonlinearities

Existing works on Wiener system identification have essentially been focused on the case where the output nonlinearity is memoryless. When memory nonlinearities have been considered, the focus has been restricted to backlash like nonlinearities. In this paper, we are considering Wiener systems where...

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Detalles Bibliográficos
Autores: radouane, Abdelhadi, Giri, Fouad, Ikhouane, Fayçal|||0000-0003-0616-3057, Ahmed-Ali, Tarek, Chaoui, Fatima Zahra, Brouri, Adil
Tipo de recurso: artículo
Fecha de publicación:2017
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/104364
Acceso en línea:https://hdl.handle.net/2117/104364
https://dx.doi.org/10.1002/acs.2700
Access Level:acceso abierto
Palabra clave:Hysteresis
Buildings
System identification
system identification
Wiener systems
frequency identification
Histèria
Edificis
Àrees temàtiques de la UPC::Matemàtiques i estadística
Descripción
Sumario:Existing works on Wiener system identification have essentially been focused on the case where the output nonlinearity is memoryless. When memory nonlinearities have been considered, the focus has been restricted to backlash like nonlinearities. In this paper, we are considering Wiener systems where the output nonlinearity is a general hysteresis operator captured by the well-known Bouc-Wen model. The Wiener system identification problem is addressed by making use of a steady-state property, obtained in periodic regime, referred to as hysteretic loop assumption'. The complexity of this problem comes from the system nonlinearity as well as its unknown parameters that enter in a non-affine way in the model. It is shown that the linear part of the system is accurately identified using a frequency method. Then, the nonlinear hysteretic subsystem is identified, on the basis of a parameterized representation, using a prediction-error approach.