Neuro-fuzzy modelling and control of robotic manipulators
The work reported in this thesis aims to design and develop a new neuro-fuzzy control system for robotic manipulators using Machine Learning Techniques, Fuzzy Logic Controllers, and Fuzzy Neural Networks. The main idea is to integrate these intelligent techniques to develop an adaptive position cont...
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Cardiff University
2005
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.583656 |