Fuzzy models within orthonormal basis function framework

Oliveira, G.H.C., Campello, R.J.G.B., and Amaral, W.C. (1999) Fuzzy models within orthonormal basis function framework. In: Proceedings of the 1999 IEEE International Fuzzy Systems Conference (2), pp. 957-962. From: 1999 IEEE International Fuzzy Systems Conference, 22-25 August 1999, Seoul, South Korea.

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Abstract

This work presents a novel framework for fuzzy modeling of dynamic systems using orthonormal basis functions in the representation of the model input signals. The main objective of using orthonormal bases is to overcome the task of estimating the order and time delay of the process. The result is a nonlinear moving average fuzzy model which, consequently, has no feedback of prediction errors. Although any technique of fuzzy modeling can be used in the proposed framework, a relational approach is considered. The performance of fuzzy models with orthonormal basis functions is illustrated by examples and the results are compared with those provided by conventional fuzzy models and Volterra models.

Item ID: 46804
Item Type: Conference Item (Research - E1)
ISBN: 978-0-7803-5406-7
Funders: CAPES
Date Deposited: 08 Aug 2017 03:02
FoR Codes: 01 MATHEMATICAL SCIENCES > 0102 Applied Mathematics > 010299 Applied Mathematics not elsewhere classified @ 100%
SEO Codes: 97 EXPANDING KNOWLEDGE > 970101 Expanding Knowledge in the Mathematical Sciences @ 100%
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