Sparse Fuzzy System Generation by Rule Base Extension

Abstract

This paper aims the introduction and comparison of two novel fuzzy system generation methods that implement the concept of incremental Rule Base Extension (RBE). Both methods automatically obtain from given input-output data a low complexity fuzzy system with a sparse rule base.Keywords-rule base generation; sparse rule base; fuzzy rule interpolation; rule base extension I.

Fuzzy Logic Control System Stability Analysis Based on Lyapunov’s Direct Method

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Generic two-degree-of-freedom linear and fuzzy controllers for integral processes

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