IIIE 20352
INSTITUTO DE INVESTIGACIONES EN INGENIERIA ELECTRICA "ALFREDO DESAGES"
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
A Wiener-like Model using Kautz Basis and HLCPWL Functions in the Framework of Set Membership Estimation Theory
Autor/es:
ÁLVAREZ MARCELA P., CASTRO LILIANA R. AND AGAMENNONI OSVALDO E.
Lugar:
Rosario, Argentina
Reunión:
Congreso; XIII Reunión de Procesamiento de la Información y Control RPIC; 2009
Institución organizadora:
Universidad Nacional de Rosario
Resumen:
In this work we present a Wiener-like model that uses Kautz basis for identifying the linear dynamic part while the nonlinear static part is realized using High Level Canonical Piecewise Linear Functions. In this case, the parameters of these functions are estimated under mild error constraints using Set Membership Estimation Theory. We also state that this structure allows to uniformly approximate any causal, time-invariant, nonlinear, fading memory discrete dynamic system.
