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Author Aljamaan, I. ♦ Westwick, D. ♦ Foley, M.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2014
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations ♦ Other branches of engineering
Subject Keyword Noise ♦ Histograms ♦ Computational modeling ♦ Technological innovation ♦ Polynomials ♦ Vectors ♦ Iterative methods
Abstract In this paper, an algorithm is developed for the identification of a Hammerstein system in the presence of non-stationary measurement noise in the form of an Auto Regressive Integral Moving Average (ARIMA) model. Many systems used in the chemical process control industry can be modelled with the Hammerstein structure, a block oriented model consisting of a memoryless non-linearity followed by a linear filter. However, these systems are often subject to random step disturbances which violate the stationarity assumptions required by most system identification algorithms. Stationarity can be restored by differencing the measured output. As a result, parametric identification methods are applied to approximate the elements of the modified plant, and noise models, as well as the non-linearity simultaneously using prediction error minimization based approaches. Instrumental Variable methods are employed to generate good initial estimates of these systems, and so to decrease the chances of the optimization getting caught in suboptimal local minima. Estimates of the original system components are then recovered from the identified model. Monte-Carlo simulation and high-order correlation-based validation tests are used to demonstrate the performance of the algorithm.
Description Author affiliation: Dept. of Electr. & Comput. Eng., Univ. of Calgary, Calgary, AB, Canada (Aljamaan, I.; Westwick, D.; Foley, M.)
ISBN 9781479974092
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2014-10-08
Publisher Place France
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 379.51 kB
Page Count 6
Starting Page 403
Ending Page 408


Source: IEEE Xplore Digital Library