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
Full text not available in this repository. (Request a copy from the Strathclyde author)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 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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