An integrated approach to active model adaptation and on-line dynamic optimisation of batch processes

Chen, T, Liu, Y and Chen, J (2013) An integrated approach to active model adaptation and on-line dynamic optimisation of batch processes JOURNAL OF PROCESS CONTROL, 23 (10). pp. 1350-1359.

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Item Type:	Article
Divisions :	Faculty of Engineering and Physical Sciences > Chemical and Process Engineering
Authors :	Name Email ORCID Chen, T Liu, Y Chen, J
Date :	1 November 2013
DOI :	10.1016/j.jprocont.2013.09.010
Uncontrolled Keywords :	Science & Technology, Technology, Automation & Control Systems, Engineering, Chemical, Engineering, AUTOMATION & CONTROL SYSTEMS, ENGINEERING, CHEMICAL, Adaptive filtering, Closed-loop identification, Design of experiments, Moving horizon estimation, Multi-objective optimisation, Parameter estimation, NEURAL-NETWORK MODEL, DUAL CONTROL, PARAMETER-ESTIMATION, PARTICLE FILTERS, DESIGN, IDENTIFICATION, STATE, REACTORS
Related URLs :	Author
Additional Information :	NOTICE: this is the author’s version of a work that was accepted for publication in JOURNAL OF PROCESS CONTROL. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in JOURNAL OF PROCESS CONTROL, 23(10), November 2013, DOI 10.1016/j.jprocont.2013.09.010.
Depositing User :	Symplectic Elements
Date Deposited :	25 Apr 2014 14:35
Last Modified :	31 Oct 2017 16:41
URI:	http://epubs.surrey.ac.uk/id/eprint/805383

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