A hybrid optimization method with PSO and GA to automatically design Type-1 and Type-2 fuzzy logic controllers

2013 ◽  
Vol 6 (2) ◽  
pp. 175-196 ◽  
Author(s):  
Ricardo Martínez-Soto ◽  
Oscar Castillo ◽  
Luis T. Aguilar ◽  
Antonio Rodriguez
Keyword(s):  
Fuzzy Logic ◽  
Optimization Method ◽  
Hybrid Optimization ◽  
Fuzzy Logic Controllers ◽  
Hybrid Optimization Method ◽  
Design Type ◽  
Logic Controllers

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.

scholarly journals Intuit before tuning: Type-1 and type-2 fuzzy logic controllers

2019 ◽  
Vol 81 ◽  
pp. 105495 ◽  
Author(s):  
Andriy Sarabakha ◽  
Changhong Fu ◽  
Erdal Kayacan
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controllers ◽  
Logic Controllers
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