Optimization of Type-2 Fuzzy Logic Controller Design Using the GSO and FA Algorithms

2020 ◽  
Author(s):  
Emer Bernal ◽  
Marylu L. Lagunes ◽  
Oscar Castillo ◽  
José Soria ◽  
Fevrier Valdez
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Controller Design

A survey of Type-2 fuzzy logic controller design using nature inspired optimization

2020 ◽  
Vol 39 (5) ◽  
pp. 6169-6179
Author(s):  
Fevrier Valdez ◽  
Oscar Castillo ◽  
Prometeo Cortes-Antonio ◽  
Patricia Melin
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Controller Design ◽  
Optimization Methods ◽  
Fuzzy Logic Controllers ◽  
Logic Control ◽  
Optimal Type ◽  
Logic Controllers

In this paper, we are presenting a survey of research works dealing with Type-2 fuzzy logic controllers designed using optimization algorithms inspired on natural phenomena. Also, in this review, we analyze the most popular optimization methods used to find the important parameters on Type-1 and Type-2 fuzzy logic controllers to improve on previously obtained results. To this end have included a summary of the results obtained from the web of science database to observe the recent trend of using optimization methods in the area of optimal type-2 fuzzy logic control design. Also, we have made a comparison among countries of the network of researchers using optimization methods to analyze the distribution and impact of the papers.

Type-1 and Type-2 fuzzy logic controller design using a Hybrid PSO–GA optimization method

2014 ◽  
Vol 285 ◽  
pp. 35-49 ◽  
Author(s):  
Ricardo Martínez-Soto ◽  
Oscar Castillo ◽  
Luis T. Aguilar
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Controller Design ◽  
Optimization Method

Interval type-2 fuzzy logic controller design for TCSC

2013 ◽  
Vol 5 (3) ◽  
pp. 193-208 ◽  
Author(s):  
Manoj Kumar Panda ◽  
G. N. Pillai ◽  
Vijay Kumar
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Controller Design ◽  
Interval Type
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