SciELO - Scientific Electronic Library Online

 
vol.43 número3An efficient spectral shaping method for ofdm systems using correlated interpolation of symbolsCorrelation-based inter and intra-band predictions for lossless compression of multispectral images índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Revista

Articulo

Indicadores

  • No hay articulos citadosCitado por SciELO

Links relacionados

  • No hay articulos similaresSimilares en SciELO

Compartir


Latin American applied research

versión impresa ISSN 0327-0793versión On-line ISSN 1851-8796

Resumen

ALVAREZ, M.P; CASTRO, L.R; FIGUEROA, J.L  y  AGAMENONNI, O.E. Set-membership estimation theory for coupled mimo Wiener-like models. Lat. Am. appl. res. [online]. 2013, vol.43, n.3, pp.269-274. ISSN 0327-0793.

In this paper, an approach for identifying coupled multiple-input, multiple-output (MIMO) Wiener-like models is presented. Each multiple-input, single-output (MISO) model structure contained in the MIMO model is parameterized using FInite sets of discrete Laguerre transfer functions followed by High Level Canonical Piecewise Linear (HLCPWL) that represents the static memoryless nonlinear block. For each MISO model, the parameters of the HLCPWL functions are found via Set-membership (SM) estimation theory, under mild error constraints. In this way, each MISO Wiener-like model is described as a set of parameters for the nonlinear static subsystem, whose values are obtained by solving a linear programming problem. The MIMO Wiener-like model structure is then represented as a set of coupled input-output MISO models, converting the identification of a coupled MIMO system into the identification of MISO systems. In order to validate the proposed identification algorithm, an illustrative example is provided.

Palabras clave : Wiener Like-Models; Nonlinear Systems Identification; HLCPWL Functions; Set-Membership Estimation Theory; UBB Error.

        · texto en Inglés     · Inglés ( pdf )

 

Creative Commons License Todo el contenido de esta revista, excepto dónde está identificado, está bajo una Licencia Creative Commons