Fuzzy logic and meteorological variables: a case study of solar irradiance
Fuzzy Sets and Systems
An inquiry into the theory of defuzzification
Granular computing
Fuzzy control of a swells canal system
Applied Soft Computing
On the adaptive fuzzy stabilization of unknown nonlinear systems
Control and Intelligent Systems
Linguistic model for the controlled object
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
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A formalism for coding fuzzy models of dynamical systems is presented. It is shown that the formalism is rich enough to capture the performance of arbitrary conventional discrete time dynamical systems whose transition maps are polynomials with rational coefficients. The proof of this fact provides a constructive algorithm for generating fuzzy models to arbitrarily closely approximate an arbitrary map on a compact set. Our modeling formalism highlights the similarities between fuzzy systems and hybrid control systems. We hope to be able to exploit these similarities by extending results from the area of hybrid systems to the fuzzy domain and vice versa