DocumentCode :
2327645
Title :
An evolutionary algorithm based approach for selection of topologies in hierarchical fuzzy systems
Author :
Zajaczkowski, Juliusz ; Verma, Brijesh
Author_Institution :
Central Queensland Univ., Rockhampton, QLD, Australia
fYear :
2010
fDate :
18-23 July 2010
Firstpage :
1
Lastpage :
8
Abstract :
This paper presents an evolutionary algorithm based approach for selection of topologies in hierarchical fuzzy systems (HFS). The different topologies of HFS for a given dynamical system such as inverted pendulum are investigated and analysed to address the problem of how input configuration in multi-layered structure affects the controller performance. The experiments are conducted to test controller performance for different topologies of the hierarchical fuzzy system. The impact of different topologies on control process is discussed. The results from case study (inverted pendulum) can be extended to other dynamical systems, in particular to a robotic manipulator.
Keywords :
evolutionary computation; fuzzy control; nonlinear control systems; pendulums; topology; controller performance testing; dynamical system; evolutionary algorithm; hierarchical fuzzy system; inverted pendulum; robotic manipulator; topology selection; Evolutionary computation; Fuzzy systems; Manipulator dynamics; Process control; Topology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation (CEC), 2010 IEEE Congress on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-6909-3
Type :
conf
DOI :
10.1109/CEC.2010.5586140
Filename :
5586140
Link To Document :
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