JOURNAL ARTICLE

Identification of Parallel Wiener-Hammerstein Systems

Abstract

This paper is focused on the problem of system identification for a class of nonlinear systems constituted of a Wiener subsystem and Hammerstein subsystem connected in parallel. Most of existing works on the identification of compound systems, involving Wiener and Hammerstein subsystems, have been focused on series connections. Presently, we present a frequency identification approach to determine estimates of the different components of the considered parallel Wiener-Hammerstein system. The approach comes in two versions. The first one consists in using repeatedly a one-frequency sine input experiment, with different frequencies in the various experiments. The second version consists in performing a signal experiment involving a sufficiently rich multi-sine excitation. The applicability of the approach and its relevance are highlighted by simulation.

Keywords:
Identification (biology) Sine Nonlinear system Computer science System identification Control theory (sociology) Series (stratigraphy) SIGNAL (programming language) Class (philosophy) Algorithm Mathematics Artificial intelligence Physics Measure (data warehouse) Data mining Control (management)

Metrics

5
Cited By
0.75
FWCI (Field Weighted Citation Impact)
35
Refs
0.66
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Control Systems and Identification
Physical Sciences →  Engineering →  Control and Systems Engineering
Advanced Adaptive Filtering Techniques
Physical Sciences →  Engineering →  Computational Mechanics
Structural Health Monitoring Techniques
Physical Sciences →  Engineering →  Civil and Structural Engineering

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