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12 - Aeronautical, Mechanical, Chemical and Manufacturing Engineering

Newcastle University

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Article title

Batch-to-batch optimal control of a batch polymerisation process based on stacked neural network models

Type

D - Journal article

DOI

10.1016/j.ces.2007.07.047

Title of journal

Chemical Engineering Science

Article number

Volume number

Issue number

First page of article

1273

ISSN of journal

1873-4405

Year of publication

2008

URL

http://dx.doi.org/10.1016/j.ces.2007.07.047

Number of additional authors

Additional information

This paper showed for the first time that robust neural networks and iterative learning control can be integrated to obtain reliable and robust batch-to-batch control strategies for batch processes. The novel modelling and batch-to-batch control methods established in this paper are being further developed in a major collaborative project, the €5M EC FP7 Collaborative project iREMO (Intelligent Reactive Polymer Composite Moulding, NMP2-SL-2009-228662; Newcastle award £214k).

Interdisciplinary

Cross-referral requested

Research group

I - Process Modelling and Optimisation

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract