Digital Redesign of the Observer-Based Decentralized Adaptive Tracker for Sampled-Data Nonlinear Large-Scale System with MIMO Subsystems: Evolutionary Programming Approach
碩士 === 國立成功大學 === 電機工程學系碩博士班 === 97 === In this thesis, a novel digital redesign of the observer-based decentralized adaptive tracker for sampled-data nonlinear large-scale system consisting of nonlinear multi-input multi-output subsystems, using evolutionary programming to further improve the tra...
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ndltd-TW-097NCKU54422082016-05-04T04:26:10Z http://ndltd.ncl.edu.tw/handle/28441590188399772838 Digital Redesign of the Observer-Based Decentralized Adaptive Tracker for Sampled-Data Nonlinear Large-Scale System with MIMO Subsystems: Evolutionary Programming Approach 適用於資料取樣且具多輸入多輸出子系統的非線性大尺度系統其觀測器型分散式自適應軌跡追蹤器之數位再設計:進化演算法則 You-Yao Chiu 裘友堯 碩士 國立成功大學 電機工程學系碩博士班 97 In this thesis, a novel digital redesign of the observer-based decentralized adaptive tracker for sampled-data nonlinear large-scale system consisting of nonlinear multi-input multi-output subsystems, using evolutionary programming to further improve the tracking performance for ill-condition systems, is proposed. Based on the given sampled-data large scale nonlinear system consisting of nonlinear multi-input multi-output interconnected subsystems, the decentralized two-stage design is proposed to construct a decoupled well-design reference model, so that the output response of the well-design reference model will well track any trajectory specified at sampling instant, which may not be presented by the analytic reference model initially, and it may not be bounded in a quite large range. Then, the other digital-redesign decentralized adaptive tracker is proposed, so that states of the digitally controlled sampled-data large-scale system closely match the ones of the well-design reference model with the closed-loop decoupling property. As a result, it yields the output of the digitally controlled sampled-data large scale system tracks well the trajectory, which may not be presented by the analytic reference model initially. When the state of the system is not measurable, an observer-based decentralized adaptive tracker is proposed. Besides, the evolutionary programming (EP) is applied to tune the observer gain to further improve the state estimation and tracking performance for the ill-conditional system. Finally, illustrative examples are given to demonstrate the effectiveness of the proposed methodology. Jason Sheng-Hong Tsai 蔡聖鴻 2009 學位論文 ; thesis 61 en_US |
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碩士 === 國立成功大學 === 電機工程學系碩博士班 === 97 === In this thesis, a novel digital redesign of the observer-based decentralized adaptive tracker for sampled-data nonlinear large-scale system consisting of nonlinear multi-input multi-output subsystems, using evolutionary programming to further improve the tracking performance for ill-condition systems, is proposed. Based on the given sampled-data large scale nonlinear system consisting of nonlinear multi-input multi-output interconnected subsystems, the decentralized two-stage design is proposed to construct a decoupled well-design reference model, so that the output response of the well-design reference model will well track any trajectory specified at sampling instant, which may not be presented by the analytic reference model initially, and it may not be bounded in a quite large range. Then, the other digital-redesign decentralized adaptive tracker is proposed, so that states of the digitally controlled sampled-data large-scale system closely match the ones of the well-design reference model with the closed-loop decoupling property. As a result, it yields the output of the digitally controlled sampled-data large scale system tracks well the trajectory, which may not be presented by the analytic reference model initially. When the state of the system is not measurable, an observer-based decentralized adaptive tracker is proposed. Besides, the evolutionary programming (EP) is applied to tune the observer gain to further improve the state estimation and tracking performance for the ill-conditional system. Finally, illustrative examples are given to demonstrate the effectiveness of the proposed methodology.
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Jason Sheng-Hong Tsai |
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Jason Sheng-Hong Tsai You-Yao Chiu 裘友堯 |
author |
You-Yao Chiu 裘友堯 |
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You-Yao Chiu 裘友堯 Digital Redesign of the Observer-Based Decentralized Adaptive Tracker for Sampled-Data Nonlinear Large-Scale System with MIMO Subsystems: Evolutionary Programming Approach |
author_sort |
You-Yao Chiu |
title |
Digital Redesign of the Observer-Based Decentralized Adaptive Tracker for Sampled-Data Nonlinear Large-Scale System with MIMO Subsystems: Evolutionary Programming Approach |
title_short |
Digital Redesign of the Observer-Based Decentralized Adaptive Tracker for Sampled-Data Nonlinear Large-Scale System with MIMO Subsystems: Evolutionary Programming Approach |
title_full |
Digital Redesign of the Observer-Based Decentralized Adaptive Tracker for Sampled-Data Nonlinear Large-Scale System with MIMO Subsystems: Evolutionary Programming Approach |
title_fullStr |
Digital Redesign of the Observer-Based Decentralized Adaptive Tracker for Sampled-Data Nonlinear Large-Scale System with MIMO Subsystems: Evolutionary Programming Approach |
title_full_unstemmed |
Digital Redesign of the Observer-Based Decentralized Adaptive Tracker for Sampled-Data Nonlinear Large-Scale System with MIMO Subsystems: Evolutionary Programming Approach |
title_sort |
digital redesign of the observer-based decentralized adaptive tracker for sampled-data nonlinear large-scale system with mimo subsystems: evolutionary programming approach |
publishDate |
2009 |
url |
http://ndltd.ncl.edu.tw/handle/28441590188399772838 |
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