Real-Time Hardware Implementation of Intelligent Adaptive Fuzzy Neural Network Controller For Uncertain Nonlinear Systems

Real-Time Hardware Implementation of Intelligent Adaptive Fuzzy Neural Network Controller For Uncertain Nonlinear Systems

碩士 === 國立交通大學 === 電機與控制工程系所 === 93 === In the thesis, true hardware implementation of an on-line intelligent adaptive TSK FNN controller is performed to control the planetary inverted pendulum. The hardware platform is dSPACE DS 1104 R&D control board under Windows 2000 running with MatLab. Exce...

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Bibliographic Details
Main Author: 林晏暘
Other Authors: 王啟旭
Format: Others
Language:zh-TW
Published: 2005
Online Access:http://ndltd.ncl.edu.tw/handle/24c7f5
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spelling ndltd-TW-093NCTU55910302019-05-15T19:19:36Z http://ndltd.ncl.edu.tw/handle/24c7f5 Real-Time Hardware Implementation of Intelligent Adaptive Fuzzy Neural Network Controller For Uncertain Nonlinear Systems 非線性不確定系統模糊類神經網路控制器的硬體實作 林晏暘 碩士 國立交通大學 電機與控制工程系所 93 In the thesis, true hardware implementation of an on-line intelligent adaptive TSK FNN controller is performed to control the planetary inverted pendulum. The hardware platform is dSPACE DS 1104 R&D control board under Windows 2000 running with MatLab. Excellent agreements have been obtained between theoretical simulation and hardware implementation. The effects of computational time delay for controller is also investigated through both software simulation and hardware emulation and by building SimuLink blocks in MatLab. The estimated maximum computational time delay can be quite practical for the industrial applications to choose cheaper hardware platform with less cost. 王啟旭 2005 學位論文 ; thesis 36 zh-TW
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description 碩士 === 國立交通大學 === 電機與控制工程系所 === 93 === In the thesis, true hardware implementation of an on-line intelligent adaptive TSK FNN controller is performed to control the planetary inverted pendulum. The hardware platform is dSPACE DS 1104 R&D control board under Windows 2000 running with MatLab. Excellent agreements have been obtained between theoretical simulation and hardware implementation. The effects of computational time delay for controller is also investigated through both software simulation and hardware emulation and by building SimuLink blocks in MatLab. The estimated maximum computational time delay can be quite practical for the industrial applications to choose cheaper hardware platform with less cost.
author2 王啟旭
author_facet 王啟旭
林晏暘
author 林晏暘
spellingShingle 林晏暘
Real-Time Hardware Implementation of Intelligent Adaptive Fuzzy Neural Network Controller For Uncertain Nonlinear Systems
author_sort 林晏暘
title Real-Time Hardware Implementation of Intelligent Adaptive Fuzzy Neural Network Controller For Uncertain Nonlinear Systems
title_short Real-Time Hardware Implementation of Intelligent Adaptive Fuzzy Neural Network Controller For Uncertain Nonlinear Systems
title_full Real-Time Hardware Implementation of Intelligent Adaptive Fuzzy Neural Network Controller For Uncertain Nonlinear Systems
title_fullStr Real-Time Hardware Implementation of Intelligent Adaptive Fuzzy Neural Network Controller For Uncertain Nonlinear Systems
title_full_unstemmed Real-Time Hardware Implementation of Intelligent Adaptive Fuzzy Neural Network Controller For Uncertain Nonlinear Systems
title_sort real-time hardware implementation of intelligent adaptive fuzzy neural network controller for uncertain nonlinear systems
publishDate 2005
url http://ndltd.ncl.edu.tw/handle/24c7f5
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