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JACIII Vol.22 No.5 pp. 740-746
doi: 10.20965/jaciii.2018.p0740
(2018)

Review:

Design of Fuzzy Logic Controller and its Distinctive Feature

Takeshi Yamakawa

Fuzzy Logic Systems Institute (FLSI)
1-5-204 Hibikino, Wakamatsu, Kitakyushu, Fukuoka 808-0135, Japan

Received:
April 9, 2018
Accepted:
April 11, 2018
Published:
September 20, 2018
Keywords:
fuzzy logic control, mouse stabilization, fuzzy chip, control strategy
Abstract
Design of Fuzzy Logic Controller and its Distinctive Feature

Mouse stabilization by fuzzy logic control

Prof. Lotfi A. Zadeh, who created a new approach to describe a knowledge of a human expert with a natural language, passed away on September 6, 2017. His significant accomplishment was to create a novel artificial intelligence (AI) which exhibits the knowledge of human experts in natural linguistic terms. This system is structured and clear in two points of why a result is obtained and how it is done. The system contrasts with AI systems based on neural networks or deep learning.

In this paper, the design of a fuzzy logic controller and its application to controlling of the mouse-platform stabilization are described. In addition, the distinctive features of fuzzy logic control are discussed. The author wants to offer this paper on the altar of Prof. Zadeh.

Cite this article as:
T. Yamakawa, “Design of Fuzzy Logic Controller and its Distinctive Feature,” J. Adv. Comput. Intell. Intell. Inform., Vol.22, No.5, pp. 740-746, 2018.
Data files:
References
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Last updated on Oct. 18, 2018