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13 - Electrical and Electronic Engineering, Metallurgy and Materials

University of Strathclyde

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Output 189 of 236 in the submission

Article title

Shaping of molecular weight distribution by iterative learning probability density function control strategies

Type

D - Journal article

DOI

10.1243/09596518JSCE584

Title of journal

Journal of Systems and Control Engineering

Article number

Volume number

222

Issue number

First page of article

639

ISSN of journal

0959-6518

Year of publication

2008

URL

Number of additional authors

Additional information

This research presents research outcomes from a joint project between UK and Chinese institutions (Strathclyde, Manchester [hong.wang@Manchester.ac.uk] and North China Electric Power University [jfzhang@ncepu.edu.cn]). For the first time a comprehensive computational model has been established for molecular weight distribution control of styrene polymerization processes. It brings a new solution to the very challenging shape control problem in industries that require online information while the online measurement is inadequate. The developed methodology was applied in the petrochemical industry via a project (2008-9) led by Dr Puya Afshar [puya.afshar@uk.yokogawa.com], a System Consultant in Yokogawa Electric Corporation (Japan).

Interdisciplinary

Cross-referral requested

Research group

E - Institute for Energy and Environment (InstEE)

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract