Decomposition of the fuzzy inference system for implementation in the FPGA structure

Bernard Wyrwoł; Edward Hrynkiewicz

International Journal of Applied Mathematics and Computer Science (2013)

  • Volume: 23, Issue: 2, page 473-483
  • ISSN: 1641-876X

Abstract

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The paper presents the design and implementation of a digital rule-relational fuzzy logic controller. Classical and decomposed logical structures of fuzzy systems are discussed. The second allows a decrease in the hardware cost of the fuzzy system and in the computing time of the final result (fuzzy or crisp), especially when referring to relational systems. The physical architecture consists of IP modules implemented in an FPGA structure. The modules can be inserted into or removed from the project to get a desirable fuzzy logic controller configuration. The fuzzy inference system implemented in FPGA can operate with a much higher performance than software implementations on standard microcontrollers.

How to cite

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Bernard Wyrwoł, and Edward Hrynkiewicz. "Decomposition of the fuzzy inference system for implementation in the FPGA structure." International Journal of Applied Mathematics and Computer Science 23.2 (2013): 473-483. <http://eudml.org/doc/257118>.

@article{BernardWyrwoł2013,
abstract = {The paper presents the design and implementation of a digital rule-relational fuzzy logic controller. Classical and decomposed logical structures of fuzzy systems are discussed. The second allows a decrease in the hardware cost of the fuzzy system and in the computing time of the final result (fuzzy or crisp), especially when referring to relational systems. The physical architecture consists of IP modules implemented in an FPGA structure. The modules can be inserted into or removed from the project to get a desirable fuzzy logic controller configuration. The fuzzy inference system implemented in FPGA can operate with a much higher performance than software implementations on standard microcontrollers.},
author = {Bernard Wyrwoł, Edward Hrynkiewicz},
journal = {International Journal of Applied Mathematics and Computer Science},
keywords = {fuzzy logic; fuzzy inference algorithm; decomposition; digital fuzzy logic controller; FPGA},
language = {eng},
number = {2},
pages = {473-483},
title = {Decomposition of the fuzzy inference system for implementation in the FPGA structure},
url = {http://eudml.org/doc/257118},
volume = {23},
year = {2013},
}

TY - JOUR
AU - Bernard Wyrwoł
AU - Edward Hrynkiewicz
TI - Decomposition of the fuzzy inference system for implementation in the FPGA structure
JO - International Journal of Applied Mathematics and Computer Science
PY - 2013
VL - 23
IS - 2
SP - 473
EP - 483
AB - The paper presents the design and implementation of a digital rule-relational fuzzy logic controller. Classical and decomposed logical structures of fuzzy systems are discussed. The second allows a decrease in the hardware cost of the fuzzy system and in the computing time of the final result (fuzzy or crisp), especially when referring to relational systems. The physical architecture consists of IP modules implemented in an FPGA structure. The modules can be inserted into or removed from the project to get a desirable fuzzy logic controller configuration. The fuzzy inference system implemented in FPGA can operate with a much higher performance than software implementations on standard microcontrollers.
LA - eng
KW - fuzzy logic; fuzzy inference algorithm; decomposition; digital fuzzy logic controller; FPGA
UR - http://eudml.org/doc/257118
ER -

References

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