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Algorithms 2016, 9(2), 39; doi:10.3390/a9020039

Review of Recent Type-2 Fuzzy Controller Applications

1
School of Engineering, University of Guelph, 50 Stone Road East, Guelph, ON N1G 2W1, Canada
2
Tijuana Institute of Technology, Calzada Del Tecnológico S/N, Fraccionamiento Tomas Aquino, Tijuana 22414, Mexico
*
Author to whom correspondence should be addressed.
Academic Editor: Toly Chen
Received: 15 March 2016 / Revised: 29 May 2016 / Accepted: 31 May 2016 / Published: 9 June 2016
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Abstract

Type-2 fuzzy logic controllers (T2 FLC) can be viewed as an emerging class of intelligent controllers because of their abilities in handling uncertainties; in many cases, they have been shown to outperform their Type-1 counterparts. This paper presents a literature review on recent applications of T2 FLCs. To follow the developments in this field, we first review general T2 FLCs and the most well-known interval T2 FLS algorithms that have been used for control design. Certain applications of these controllers include robotic control, bandwidth control, industrial systems control, electrical control and aircraft control. The most promising applications are found in the robotics and automotive areas, where T2 FLCs have been demonstrated and proven to perform better than traditional controllers. With the development of enhanced algorithms, along with the advancement in both hardware and software, we shall witness increasing applications of these frontier controllers. View Full-Text
Keywords: Type-2 fuzzy logic systems; Type-2 fuzzy logic control; general Type-2 fuzzy logic controllers; interval Type-2 fuzzy logic controllers; Karnik-Mendel algorithms; Wu–Mendel method; Biglarbegian–Melek–Mendel method; Nie–Tan method Type-2 fuzzy logic systems; Type-2 fuzzy logic control; general Type-2 fuzzy logic controllers; interval Type-2 fuzzy logic controllers; Karnik-Mendel algorithms; Wu–Mendel method; Biglarbegian–Melek–Mendel method; Nie–Tan method
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Tai, K.; El-Sayed, A.-R.; Biglarbegian, M.; Gonzalez, C.I.; Castillo, O.; Mahmud, S. Review of Recent Type-2 Fuzzy Controller Applications. Algorithms 2016, 9, 39.

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