Fuzzy Clustering Algorithm for Local Model Control
نویسندگان
چکیده
Fuzzy modelling has interpretability of the obtained models as a fundamental goal. In this paper a control-oriented local-model fuzzy clustering algorithm will try that local models approximate the linearized plant model on their validity zones. A family of clustering algorithms is presented so that it incorporates some desirable characteristics regarding convexity and smoothness of the final identified clusters, with advantages regarding other methodologies such as Gustaffson-Kessel. The algorithm simultaneously provides local linear models and input clustering, being suitable for Takagi-Sugeno models and local linear models decomposition of complex systems. Copyright ©2002 IFAC
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