[Show abstract][Hide abstract] ABSTRACT: This paper summarizes work undertaken in the area of modeling Shape Memory Alloy (SMA) and airfoil hysteresis using a Sugeno-type fuzzy modeling approach based on subtractive clustering. Two alternative approaches to develop a fuzzy model for hysteresis are proposed and evaluated. The first consists in building a mirror image of the lower curve in order to model both curves concurrently and the second consists in modeling the upper and lower curves separately. In each case linear and quadratic Sugeno models were tested. Simulation results show that those models perform better than different types of interpolations and neural networks in term of root mean square (rms) error. Copyright c 2006 Yang's Scientific Research Institute, LLC. All rights reserved.
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