This paper studies the identification of a block-structured nonlinear Wiener-Hammerstein system that is captured in the feedforward or the feedback path of a closed-loop system. First, nonparametric initial estimates are generated for the three dynamic blocks, which are modeled by their frequency response function, and the static nonlinear system, which is described using an input-ooutput table. Next, a parametric model is identified. Random or periodic excitations can be used in the experiments. The method is illustrated on the identification of an Agilent HP420C crystal detector.
|Number of pages||7|
|Journal||IEEE Transactions on Instrumentation and Measurement|
|Publication status||Published - 1 Aug 2008|
- Block structure
- crystal detector
- nonlinear systems
- system identification