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Improved identification algorithm for b-spline modelling of output probability density functions

Zhang, J.H. and Yue, H. (2004) Improved identification algorithm for b-spline modelling of output probability density functions. In: 2004 IEEE International Symposium on Intelligent Control, 2004-09-02 - 2004-09-04, Taipei.

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Abstract

An improved modelling technique has been developed for the B-spline approximation of the output probability density functions (PDFs). By reformulating the B-spline links between the weights vector and the output PDFs, the new algorithm decomposes the previous scanning identification into two separate operations, therefore reduces the dimension of the least square calculation and improves its efficiency. A PDF control strategy is then adopted to ensure that the output PDF will follow a desired PDF. Simulation studies have been performed for the molecular weight distribution (MWD) control of a styrene polymerization process.

Item type: Conference or Workshop Item (Paper)
ID code: 38167
Keywords: improved identification, algorithm, b-spline, modelling, output, probability density functions, Electrical engineering. Electronics Nuclear engineering, Electrical and Electronic Engineering
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
Related URLs:
Depositing user: Pure Administrator
Date Deposited: 05 Mar 2012 16:28
Last modified: 30 Jun 2014 14:35
URI: http://strathprints.strath.ac.uk/id/eprint/38167

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