Abstract
The authors present an adaptive control scheme based on a fuzzy-logic algorithm and its application in vibration suppression of smart structures. The objective is to attain an adaptive controller that retains the performance of the closed-loop system under large parameter perturbations. This controller is based on a functional fuzzy model where the consequents are crisp functions of the states and inputs and possibly their past values; these functions represent controllers designed for different operating regimes. The premise is constituted by the fuzzy subsets corresponding to the process parameters estimated in real time. The effectiveness of this new scheme is verified on a clamp-free beam instrumented with piezoceramic sensors and actuators.

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