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Control of non-linear time-varying systems using fuzzy relational models

Edgar, Craig and Postlethwaite, Bruce (1998) Control of non-linear time-varying systems using fuzzy relational models. In: UKACC International Conference on Control '98. IEEE, pp. 60-65. ISBN 0-85296-708-X

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Abstract

The majority of chemical processes are non-linear in nature. Increasingly, non-linear models are being used as key parts of chemical plant control schemes. A problem with any model is that it can become inaccurate over time and consequently for good control of time-varying processes some sort of model adaptation is required. In this paper a Fuzzy Relational Model (FRM) is incorporated into a multi-variable Fuzzy Internal Model Controller (FIMC). A mechanism for on-line adaptation of the model is described and implemented. Results are presented for a simulated MIMO system.

Item type: Book Section
ID code: 25672
Keywords: FIMC, FRM, fuzzy relational model, model adaptation, multivariable fuzzy internal model controller, nonlinear chemical processes, nonlinear time-varying system control, online adaptation, simulated MIMO system, Chemical engineering
Subjects: Technology > Chemical engineering
Department: Faculty of Engineering > Chemical and Process Engineering
Related URLs:
Depositing user: Dr. Bruce Postlethwaite
Date Deposited: 30 Jun 2010 14:43
Last modified: 12 Mar 2012 11:15
URI: http://strathprints.strath.ac.uk/id/eprint/25672

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