JOURNAL ARTICLE

Identification of Nonlinear Systems Structured by Wiener-Hammerstein Model

Adil BrouriSmail Slassi Sennou

Year: 2016 Journal:   International Journal of Electrical and Computer Engineering (IJECE) Vol: 6 (1)Pages: 167-167   Publisher: Institute of Advanced Engineering and Science (IAES)

Abstract

Wiener-Hammerstein systems consist of a series connection including a nonlinear static element sandwiched with two linear subsystems. The problem of identifying Wiener-Hammerstein models is addressed in the presence of hard nonlinearity and two linear subsystems of structure entirely unknown (asymptotically stable). Furthermore, the static nonlinearity is not required to be invertible. Given the system nonparametric nature, the identification problem is presently dealt with by developing a two-stage frequency identification method, involving simple inputs.

Keywords:
Invertible matrix Nonlinear system Identification (biology) Series (stratigraphy) Nonlinear element System identification Simple (philosophy) Computer science Applied mathematics Control theory (sociology) Nonparametric statistics Nonlinear system identification Connection (principal bundle) Mathematics Artificial intelligence Econometrics Data modeling Pure mathematics Physics

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Citation History

Topics

Control Systems and Identification
Physical Sciences →  Engineering →  Control and Systems Engineering
Iterative Learning Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Structural Health Monitoring Techniques
Physical Sciences →  Engineering →  Civil and Structural Engineering

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