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- Title
Refined instrumental variable method for Hammerstein-Wiener continuous-time model identification.
- Authors
Boyi Ni; Marion Gilson; Hugues Garnier
- Abstract
This study presents the first attempt of direct continuous-time model identification using instrumental variable method for Hammerstein-Wiener systems from sampled data. Under the assumption of monotonic function for the Wiener part, the whole non-linear model is first estimated as an augmented multiple-input single-output linear model, from which the model parameters are then extracted by singular value decomposition. A refined instrumental variable method is proposed to consistently identify this non-linear system acting in a coloured noisy environment. Monte Carlo simulation analysis is presented to illustrate the effectiveness of the proposed method.
- Subjects
MONOTONIC functions; REAL variables; MATHEMATICAL functions; LINEAR differential equations; DIFFERENTIAL equations
- Publication
IET Control Theory & Applications (Wiley-Blackwell), 2013, Vol 7, Issue 9, p1276
- ISSN
1751-8644
- Publication type
Article
- DOI
10.1049/iet-cta.2012.0548