Nonlinear system modeling and identification using Volterra-PARAFAC models-Reference-Cited by-同舟云学术

Nonlinear system modeling and identification using Volterra-PARAFAC models

Published:2011-09-21 Issue:1 Volume:26 Page:30-53
ISSN:0890-6327
Container-title:International Journal of Adaptive Control and Signal Processing
language:en
Short-container-title:Int. J. Adapt. Control Signal Process.

Author:

Favier Gérard¹,Kibangou Alain Y.²,Bouilloc Thomas¹

Affiliation:

1. Laboratoire I3S; University of Nice Sophia Antipolis, CNRS, Les Algorithmes - Bât. Euclide B; 2000 Route des lucioles, B.P. 121-06903 Sophia Antipolis; Cedex; France

2. Gipsa-Lab, Systems Control Department; University Joseph Fourier, CNRS; 961 rue de la Houille Blanche, B.P. 46-38402 Grenoble; Cedex; France

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Signal Processing,Control and Systems Engineering

Reference62 articles.

1. Mumolo E Francescato D Adaptive predictive coding of speech by means of Volterra predictors Proceedings of IEEE Winter Workshop on Nonlinear Digital Signal Processing 1993 2.1.4.1 2.1.4.4

2. An efficient approximation to the quadratic Volterra filter and its application in real-time loudspeaker linearization;Frank;Signal Processing,1995

3. Kajikawa Y Subband parallel cascade Volterra filter for linearization of loudspeaker systems 16th European Signal Processing Conference (EUSIPCO) 2008

4. Identification and Control Using Volterra Models

5. Design of robust constrained model-predictive controllers with Volterra series;Genceli;AIChE Journal,1995

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