A New Type of Fuzzy Logic System for Adaptive Modeling and Control
نویسندگان
چکیده
Abstract We present a new type of fuzzy controller constructed with the B spline model and its applications in modelling and control Un like the other normalised parameterised set functions for de ning fuzzy sets B spline basis functions do not necessarily span from membership value to but possess the property partition of unity These B spline basis functions are automatically determined after the input space is partitioned By using product as fuzzy conjunction centroid as defuzzi cation fuzzy singletons for modelling output variables and adding marginal linguistic terms fuzzy controllers can be constructed which have advantages like smoothness automatic design and intuitive interpretation of controller parameters Furthermore both theoretical analysis and experimental results show the rapid convergence for tasks of data approximation and unsupervised learning with this type of fuzzy controller
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