Application of a multivariable self-tuning predictor

A multivariable predictor algorithm is presented which can produce multistep prediction of a stochastic time series. The algorithm is used to predict product quality in an iron-ore sintering process. The application uses a modified low-pass filtering technique involving less time lag than convention...

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Bibliographic Details
Published inProceedings of the IEEE Vol. 74; no. 2; pp. 377 - 379
Main Authors Kanjilal, P.P., Rose, E.
Format Journal Article
LanguageEnglish
Published New York, NY IEEE 01.02.1986
Institute of Electrical and Electronics Engineers
Subjects
Applied sciences
Circuit properties
Electric, optical and optoelectronic circuits
Electronics
Ellipsoids
Exact sciences and technology
Filtering
Linear programming
Miscellaneous
Pattern recognition
Polynomials
Prediction algorithms
Random number generation
Stochastic processes
Testing
Vectors
Agreement
Low pass filter
Predictor
Algorithm
Multivariable circuit
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Summary:A multivariable predictor algorithm is presented which can produce multistep prediction of a stochastic time series. The algorithm is used to predict product quality in an iron-ore sintering process. The application uses a modified low-pass filtering technique involving less time lag than conventional filters.
ISSN:0018-9219
1558-2256
DOI:10.1109/PROC.1986.13472