Paper Info
Title
Genetically generated double-level fuzzy controller with a fuzzy adjustment strategy
Abstract
This paper describes the use of a genetic algorithm (GA) in tuning a double-level modular fuzzy logic controller (DLMFLC), which can expand its control working zone to a larger spectrum than a single-level FLC. The first-level FLCs are tuned by a GA so that the input parameters of their membership functions and fuzzy rules are optimized according to their individual working zones. The second-level FLC is then used to adjust contributions of the first-level FLCs to the final output signal of the whole controller, i.e., DLMFLC, so that it can function in a wider spectrum covering all individual working zones of the first-level FLCs. The second-level FLC is again optimized by a GA. An inverted pendulum system (IPS) is used to demonstrate the feasibility of the approach.
Year
DOI
Venue
2007
10.1145/1276958.1277338
GECCO
Keywords
Field
DocType
individual working zone,larger spectrum,whole controller,single-level flc,fuzzy adjustment strategy,first-level flcs,wider spectrum,final output signal,fuzzy rule,double-level modular fuzzy logic,double-level fuzzy controller,second-level flc,genetics,genetic algorithm,modularity
Inverted pendulum,Control theory,Defuzzification,Control theory,Computer science,Fuzzy set operations,Fuzzy logic,Modular design,Modularity,Genetic algorithm
Conference
Citations 
PageRank 
References 
0
0.34
15
Authors
7
Name
Order
Citations
PageRank
Sofiane Achiche17814.65
Wei Wang220258.31
Zhun Fan332435.30
Ali Ozkil400.34
Torben Sorensen5151.28
Jiachuan Wang6424.01
Erik Goodman714515.19