Paper Details: Downloads: 613
Serial Number: P1110917728
Title: Greenhouse Model Identification based on Fuzzy Clustering Approach
Authors: A. Errahmani and M. Benyakhlef and I. Boumhidi
Abstract: Fuzzy modelling has been widely applied as a powerful methodology for the identification of nonlinear system from process measurements. This work proposes a contribution on the application of fuzzy logic to identification of a class of large scale system with multiple models. The researched models have black box structure and the rules are determined by numerical approaches. The proposed approach is developed by using fuzzy clustering and is applied on a real system which is nonlinear in nature (green house).
Keywords: Identification of nonlinear systems, Fuzzy clustering, greenhouse climate modelling
Journal/Conference: International Journal of Automatic Control and System Engineering
Volume: 9
Issue: 2
Submission Date: 4/24/2009 12:00:00 AM
Review Date: 5/15/2009 12:00:00 AM
Publishing Date: 6/7/2009 12:00:00 AM
Article Downloads: 613
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