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...

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Bibliographic Details
Main Authors: Ying-Chung Wang, 王盈中
Other Authors: Ching-Cheng Teng
Format: Others
Language:en_US
Published: 2003
Online Access:http://ndltd.ncl.edu.tw/handle/75853503512576087572

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