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Identification of a Wiener–Hammerstein system using the polynomial nonlinear state space approach

  • Published:2012-11 Issue:11 Volume:20 Page:1133-1139
  • ISSN:0967-0661
  • Container-title:Control Engineering Practice
  • language:en
  • Short-container-title:Control Engineering Practice

Author:

Paduart J.,Lauwers L.,Pintelon R.,Schoukens J.

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Reference26 articles.

1. Handbook of mathematical functions with formulas, graphs and mathematical tables;Abramowitz,1965

2. A new look at statistical model identification;Akaike;IEEE Transactions on Automatic Control,1974

3. Enqvist, M. (2005). Linear models of nonlinear systems. Ph.D. Thesis. Linkoping University, Linkoping, Sweden.

4. Linear approximations of nonlinear FIR systems for separable input processes;Enqvist;Automatica,2005

5. System identification. Parameter and state estimation;Eykhoff,1974

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