Multichannel Optimal Linear Deconvolution Filters and Strip Thickness Estimation From Gauge Measurements

A solution is presented to the H2 optimal deconvolution filtering, smoothing and prediction problems for multivariable, discrete, linear signal processing problems. A weighted H2 cost-function is minimized where the dynamic weighting function can be chosen for robustness improvement. The signal and...

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Bibliographic Details
Published in:Journal of dynamic systems, measurement, and control measurement, and control, 1995-06, Vol.117 (2), p.165-174
Main Author: Grimble, M. J
Format: Article
Language:English
Subjects:
Applied sciences
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Information, signal and communications theory
Signal and communications theory
Signal, noise
Telecommunications and information theory
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Summary:A solution is presented to the H2 optimal deconvolution filtering, smoothing and prediction problems for multivariable, discrete, linear signal processing problems. A weighted H2 cost-function is minimized where the dynamic weighting function can be chosen for robustness improvement. The signal and noise sources can be correlated and signal channel dynamics can be included in the system model. The estimation of the thickness of steel strip given X-ray gauge measurements is then considered. The deconvolution problem arises because the thickness at the roll gap is required for control purposes whereas the measurement occurs some time later when the strip reaches the X-ray gauge.
ISSN:0022-0434
1528-9028
DOI:10.1115/1.2835176