Journal Title
Title of Journal: Neural Comput Applic
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Abbravation: Neural Computing & Applications
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Publisher
Springer Verlag
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Authors: Amitava Chatterjee Keigo Watanabe
Publish Date: 2005/10/19
Volume: 15, Issue: 1, Pages: 55-61
Abstract
The present paper describes the development of a TakagiSugeno TStype Neurofuzzy system NFS for dynamic modeling of robot manipulators The NFS has been trained by a relatively new combinatorial metaheuristic optimization method called particle swarm optimization PSO The development of such an intelligent robust dynamic models for robot manipulators can immensely help in deriving proper position/velocity control strategies in offline situations with these accurately developed models The proposed PSObased NFS has been successfully applied to twolink and threelink model robot manipulatorsAmitava Chatterjee would like to thank The Japanese Government Scholarship Monbukagakusho authorities for giving him the opportunity to carry out this work in the Department of Advanced System Control Engineering Graduate School of Science and Engineering Saga University Saga Japan under the guidance of Prof Keigo Watanabe
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