<title>Fuzzy systems approximation by fuzzy spline wavelets</title>

Systems identification with fuzzy spline wavelets

Proceedings of 6th International Fuzzy Systems Conference ◽

10.1109/fuzzy.1997.616385 ◽

2002 ◽

Author(s):

A. Shmilovici ◽

O. Maimon

Keyword(s):

Spline Wavelets ◽

Systems Identification ◽

Fuzzy Spline

Download Full-text

On the solution of differential equations with fuzzy spline wavelets

Fuzzy Sets and Systems ◽

10.1016/s0165-0114(96)00285-0 ◽

1998 ◽

Vol 96 (1) ◽

pp. 77-99 ◽

Cited By ~ 5

Author(s):

Armin Shmilovici ◽

Oded Maimon

Keyword(s):

Differential Equations ◽

Spline Wavelets ◽

Fuzzy Spline

Download Full-text

H∞ control for Takagi–Sugeno fuzzy systems

International Journal of Systems Science ◽

10.1080/00207720010004430 ◽

2001 ◽

Vol 32 (7) ◽

pp. 915-924 ◽

Cited By ~ 9

Author(s):

Jun Yoneyama ◽

Masahiro Nishikawa ◽

Hitoshi Katayama ◽

Akira Ichikawa

Keyword(s):

Fuzzy Systems ◽

Takagi Sugeno

Download Full-text

Improvement of AODV Routing on MANETs Using Fuzzy Systems

Iraqi Journal for Electrical And Electronic Engineering ◽

10.33762/eeej.2011.49654 ◽

2011 ◽

Vol 7 (2) ◽

pp. 102-106 ◽

Cited By ~ 1

Author(s):

Taqwa Odey Fahad ◽

Abduladhim A. Ali

Keyword(s):

Fuzzy Systems

Download Full-text

Efficient Cooperative Particle Swarm Optimization for TSK-Type Neural Fuzzy Systems and Its Classification Applications

Journal of Advances in Applied & Computational Mathematics ◽

10.15377/2409-5761.2014.02.01.6 ◽

2015 ◽

Vol 2 (1) ◽

pp. 30-37

Author(s):

Cheng-Hung Chen ◽

Keyword(s):

Particle Swarm Optimization ◽

Fuzzy Systems ◽

Particle Swarm ◽

Swarm Optimization ◽

Neural Fuzzy

Download Full-text

Wavelet Transforms with a Compact Carrier on the Basis of Spline Wavelets

Telecommunications and Radio Engineering ◽

10.1615/telecomradeng.v66.i6.40 ◽

2007 ◽

Vol 66 (6) ◽

pp. 505-512

Author(s):

A. D. Kukharev ◽

Yu. S. Evstifeev ◽

V. G. Yakovlev

Keyword(s):

Wavelet Transforms ◽

Spline Wavelets

Download Full-text

EFFECTIVE TUNING OF MEMBERSHIP FUNCTION PARAMETERS IN FUZZY SYSTEMS BASED ON MULTI-VALUED INTERVAL LOGIC

Telecommunications and Radio Engineering ◽

10.1615/telecomradeng.v79.i2.70 ◽

2020 ◽

Vol 79 (2) ◽

pp. 149-163

Author(s):

I. S. Tvoroshenko ◽

V. О. Gorokhovatskyi

Keyword(s):

Membership Function ◽

Fuzzy Systems ◽

Interval Logic

Download Full-text

Modeling of Self-Induced Vibrations that Occur During the Machining Process of Casting Patterns with the Use of The Fuzzy-Neural Networks Method

Archives of Metallurgy and Materials ◽

10.2478/amm-2013-0090 ◽

2013 ◽

Vol 58 (3) ◽

pp. 871-875

Author(s):

A. Herberg

Keyword(s):

Neural Networks ◽

Control System ◽

Network Structure ◽

Fuzzy Systems ◽

Fuzzy Neural Networks ◽

Cnc Machining ◽

Machining Process ◽

Modeling Process ◽

Fuzzy Neural ◽

Takagi Sugeno

Abstract This article outlines a methodology of modeling self-induced vibrations that occur in the course of machining of metal objects, i.e. when shaping casting patterns on CNC machining centers. The modeling process presented here is based on an algorithm that makes use of local model fuzzy-neural networks. The algorithm falls back on the advantages of fuzzy systems with Takagi-Sugeno-Kanga (TSK) consequences and neural networks with auxiliary modules that help optimize and shorten the time needed to identify the best possible network structure. The modeling of self-induced vibrations allows analyzing how the vibrations come into being. This in turn makes it possible to develop effective ways of eliminating these vibrations and, ultimately, designing a practical control system that would dispose of the vibrations altogether.

Download Full-text