Article ID Journal Published Year Pages File Type
381233 Engineering Applications of Artificial Intelligence 2011 9 Pages PDF
Abstract

Fuzzy frequency response: proposal and application for uncertain dynamic systems is proposed in this paper. The uncertain dynamic system is partitioned into several linear sub-models, in terms of transfer function, and organized into Takagi–Sugeno (TS) fuzzy structure. The main contribution of this approach is demonstrated, from a Theorem, that the fuzzy frequency response is a bound in the magnitude and phase Bode plots. The analysis, from the fuzzy dynamic model, at low and high frequencies, is obtained varying the frequency ωω from zero to infinity.

► Fuzzy frequency response for uncertain systems from experimental data. ► Membership functions are generated by clustering algorithm. ► Linear sub-models are identified from least square method. ► Frequency response estimated from the equivalent Takagi–Sugeno fuzzy model.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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