On-line Adaptive Neural Control for MIMO Nonlinear Systems Tracking Using Diagonal Recurrent Neural Network model
碩士 === 國立交通大學 === 電機與控制工程系 === 90 === A approach for on-line adaptive neural control of MIMO nonlinear systems is explored in this thesis with sliding gain using diagonal recurrent neural network (DRNN) learning model. We use the nonlinear state feedback to design the control input of a n...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2002
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Online Access: | http://ndltd.ncl.edu.tw/handle/67803205731173463255 |