Fuzzy controllers design using space-filling curves

(1998) Fuzzy controllers design using space-filling curves. American Control Conference, 1998. Proceedings of the 1998, 3.

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Abstract

We present a clustering technique for fuzzy rules based on Hilbert space-filling curves (SFC). SFC scans an n-dimensional space and reduces it to a curve, i.e. a one-dimensional line. We first introduce the Hilbert space-filling curves, and outline the algorithms for clustering and adaptive clustering which demonstrate SFC efficient self-organizing features. We then propose a SFC fuzzy inference model based on clustering the object space. The SFC fuzzy model is then used to design a fuzzy controller. The proposed method achieves a dramatic reduction of the complexity of fuzzy controller by reducing the multivariable fuzzification problem to a one dimensional space

Item Type: Article
Subjects: Computer
Divisions: College Of Computer Sciences and Engineering > Systems Engineering Dept
Depositing User: Mr. Admin Admin
Date Deposited: 24 Jun 2008 16:24
Last Modified: 01 Nov 2019 17:04
URI: http://eprints.kfupm.edu.sa/id/eprint/14140