Adaptive Backstepping Neural Network Controller with filters and its Applications in Server Motors
碩士 === 國立臺灣師範大學 === 工業教育學系 === 97 === In this thesis, a radial basis function (RBF) neural adaptive backstepping controller for a class of nonlinear system with unknown nonlinearities is proposed. In backstepping design procedure, the RBF neural networks are used to approximate unknown nonlinear fun...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2009
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| Online Access: | http://ndltd.ncl.edu.tw/handle/58901447535218183741 |