Intelligent Robust Wavelet Neural Network Control for MIMO Nonlinear Systems
碩士 === 元智大學 === 電機工程學系 === 95 === This thesis focus on an adaptive wavelet neural network (AWNN) controller and it is applied to the multi-input multi-output systems. The proposed WNN system is comprised of a principle controller and a compensation controller. The principle controller is an identifi...
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| Format: | Others |
| Language: | en_US |
| Published: |
2007
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| Online Access: | http://ndltd.ncl.edu.tw/handle/61008440293064209023 |
| Summary: | 碩士 === 元智大學 === 電機工程學系 === 95 === This thesis focus on an adaptive wavelet neural network (AWNN) controller and it is applied to the multi-input multi-output systems. The proposed WNN system is comprised of a principle controller and a compensation controller. The principle controller is an identifier using AWNN to estimate the uncertain nonlinear function of the MIMO system. An controller is used as the compensation controller to enhance the robustness. In Chapter 3, we add the sliding-mode technique into the AWNN controller to enhance the effectiveness. The simulation results demonstrate the effectiveness of proposed controller for the MIMO systems.
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