Referenced Items are not available for this document.
A method of designing a nonlinear predictive controller based on relational fuzzy model is presented. The fuzzy model is incorporated as a predictor in a nonlinear model - based predictive controller, using internal model control scheme to compensate disturbances and modeling errors. A non-convex optimization problem must be solved at each sampling period. The algorithm is applied to temperature control in a heat exchanger.
Published in:
Automation, Quality and Testing, Robotics, 2008. AQTR 2008. IEEE International Conference on
(Volume:2
)
Date of Conference: 22-25 May 2008
- Page(s):
- 203 - 206
- E-ISBN :
- 978-1-4244-2577-8
- Print ISBN:
- 978-1-4244-2576-1
- INSPEC Accession Number:
- 10207807
- Conference Location :
- Cluj-Napoca
- Digital Object Identifier :
- 10.1109/AQTR.2008.4588821
- Product Type:
- Conference Publications
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