Abstract
This article presents a case study of applying fuzzy modeling
techniques for a water hydraulics system. The obtained model is
intended to provide a basis for model-based control of the system.
Fuzzy clustering is used for classifying measured input-output
data points into partitions. The fuzzy model is extracted from the
obtained partitions. The identified model has been evaluated by
comparing measurements with simulation results. The evaluation
shows that the identified model is capable of describing the
system dynamics over a reasonably wide frequency range.
Original language | English |
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Title of host publication | Advances in Intelligent Systems: Theory and Applications |
Place of Publication | Amsterdam |
Publisher | IOS Press |
Publication date | 2000 |
Pages | 72-77 |
Publication status | Published - 2000 |
Event | International conference on Advances in Intelligent
Systems: Theory and Applications - Canberra, Australia Duration: 1 Jan 2000 → … |
Conference
Conference | International conference on Advances in Intelligent Systems: Theory and Applications |
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City | Canberra, Australia |
Period | 01/01/2000 → … |