Paper Info
Title
Comparative Study of Fuzzy Controller Optimization with Dynamic Parameter Adjustment Based on Type 1 and Type 2 Fuzzy Logic.
Abstract
This paper presents a comparison of fuzzy controller optimization results using dynamic parameter adjustment Type 1 (T1) and Interval Type 2 (T2) fuzzy logic to the Firefly Algorithm (FA). The FA is used for optimizations parameters of the membership functions in the fuzzy controllers. The dynamic adjustment is applied to the randomness parameter of the search space, which represents the exploration of the method, avoiding stagnation or premature convergence. The FA generates the values that the parameters of the membership functions take for optimization use in the fuzzy systems for control. The control plants have one or more input variables that are processed and result in one or more output variables, it would be very difficult to model the human reasoning in equations to achieve a machine acquires the knowledge acquired by humans. For that reason the fuzzy logic that generates that insertion is used as if it were human reasoning.
Year
DOI
Venue
2019
10.1007/978-3-030-21920-8_27
FUZZY TECHNIQUES: THEORY AND APPLICATIONS
Field
DocType
Volume
Control theory,Control theory,Computer science,Fuzzy logic
Conference
1000
ISSN
Citations 
PageRank 
2194-5357
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Marylu L. Lagunes1112.49
Oscar Castillo25289452.83
Fevrier Valdez395257.96
Jose Soria41397.21