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. (https://doi.org/10.1109/ISIC.2004.1387673)
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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.
ORCID iDs
Zhang, J.H. and Yue, H. ORCID: https://orcid.org/0000-0003-2072-6223;-
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Item type: Conference or Workshop Item(Paper) ID code: 38167 Dates: DateEventSeptember 2004PublishedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 05 Mar 2012 16:28 Last modified: 11 Nov 2024 16:21 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/38167