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

Tools

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.

ORCID iDs

Edgar, Craig and Postlethwaite, Bruce ORCID logoORCID: https://orcid.org/0000-0003-1418-6670;
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