Adaptive Iterative Learning Control of Nonlinear Systems Using an Output Recurrent Fuzzy Neural Network
博士 === 國立交通大學 === 電機與控制工程系 === 92 === In this thesis, we propose an adaptive iterative learning control (AILC) based on a new output recurrent fuzzy neural network (ORFNN) for solving the traditional iterative learning control (ILC) problems. The proposed AILC will be classified into indi...
Main Authors: | Ying-Chung Wang, 王盈中 |
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Other Authors: | Ching-Cheng Teng |
Format: | Others |
Language: | en_US |
Published: |
2003
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Online Access: | http://ndltd.ncl.edu.tw/handle/75853503512576087572 |
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