Frequency identification of Wiener systems with Backlash operators using separable least squares estimators
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Cita com:
hdl:2117/16436
Tipus de documentComunicació de congrés
Data publicació2012
Condicions d'accésAccés obert
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
This paper deals with the identification of Wiener models that involve backlash operators
bordered by possibly noninvertible parametric lines. The latter are also allowed to cross each other making possible to account for general-shape static nonlinearities. The linear dynamic subsystem is not-necessarily parametric but is BIBO stable. A frequency identification method is developed that provides estimates of the nonlinear operator parameters as well as estimates of the linear subsystem frequency gain. The method involves standard and separable least squares estimators that all are shown to be consistent. Backlash
operators and memoryless nonlinearities are handled within a unified framework.
CitacióGiri, F. [et al.]. Frequency identification of Wiener systems with Backlash operators using separable least squares estimators. A: IFAC Symposium on System Identification. "IFAC. 16th Symposium on System Identification". Brusel.les: 2012, p. 262-267.
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