Paper Info
Title
Co-Evolutionary Algorithm For Hierarchical Fuzzy Control Of The Inverted Pendulum
Abstract
In this paper we design a hierarchical fuzzy controller for the inverted pendulum problem. A co-evolutionary algorithm is used to learn a complete set of fuzzy rules in the hierarchical structure and also to learn key parameters of the input and output membership sets in each layer in order to achieve a more 'damped' convergence of the state variables and smoother controller function.We compare our results with previous research which examined the problems of hierarchical decomposition associated with determining the number of layers and which input variables are associated with each layer. This research had assumed a uniform distribution of fuzzy membership sets for input and output variables.
Year
DOI
Venue
2006
10.1109/CEC.2006.1688385
2006 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-6
Keywords
Field
DocType
topology,uniform distribution,inverted pendulum,evolutionary computation,fuzzy sets,control systems,informatics,fuzzy control,computer science,evolutionary algorithm,convergence
Inverted pendulum,Defuzzification,Fuzzy classification,Control theory,Fuzzy set operations,Fuzzy logic,Fuzzy set,Fuzzy control system,Fuzzy number,Mathematics
Conference
Volume
Issue
Citations 
null
null
2
PageRank 
References 
Authors
0.38
3
2
Name
Order
Citations
PageRank
Russel J. Stonier1266.05
Juliusz Zajaczkowski2162.62