博碩士論文 90521013 完整後設資料紀錄

DC 欄位 語言
DC.contributor電機工程學系zh_TW
DC.creator王學彬zh_TW
DC.creatorHsyueh-Pin Wangen_US
dc.date.accessioned2003-6-27T07:39:07Z
dc.date.available2003-6-27T07:39:07Z
dc.date.issued2003
dc.identifier.urihttp://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=90521013
dc.contributor.department電機工程學系zh_TW
DC.description國立中央大學zh_TW
DC.descriptionNational Central Universityen_US
dc.description.abstract本論文主要針對Takagi-Sugeno 模糊控制器之設計提出一個以實數型基因法則為基礎同時結合LMI (Linear Matrix Inequalities) 求解技巧的新演算法,由於本演算法同時具備基因法則的最佳化搜尋特性與 LMI 求解技術之優點,故透過不同適應函數之制定,便能夠設計出符合各種系統特性與性能要求的控制器,以改良一般 LMI 設計方法的不足之處。本文係以自走車動態系統為例,藉由其軌跡收斂控制器的設計,以分析現有的 LMI 技術與本文所提之方法,並且透過實際的模擬,作一系列最詳盡的討論與比較。文末敘述如何研製一個自走車系統,並運用本文方法所設計的 T-S 模糊控制器進行軌跡收斂的實驗,以驗證其可行性與可應用性。zh_TW
dc.description.abstractIn this paper, we propose a new algorithm to design the Takagi- Sugeno fuzzy controller via Real-Valued Genetic Algorithm (GA) and LMI (Linear Matrix Inequalities) technique. Because this algorithm combines the advantages of GA and LMI, one can design the feedback gains of the controller according to characteristics and required Performances of each system. Hence, this method can improve the drawbacks of general LMI-based design ones. This thesis first discusses the design of the controller of the trajectory stabilization of a model car. Then we dilate on the process of design controller by two different ways and compare them by means of simulations. In order to show the feasibility and the applicability of this method, we explain how to devise and create a model car and verify it with the T-S fuzzy controller based on the GA and LMI.en_US
DC.subject基因演算法zh_TW
DC.subjectT-S 模糊zh_TW
DC.subjectT-S fuzzyen_US
DC.subjectgenetic algorithmen_US
DC.title實數型基因演算法結合LMI技術之T-S模糊控制器設計及應用於走車之軌跡控制zh_TW
dc.language.isozh-TWzh-TW
DC.titleT-S Fuzzy Controller Design via Real-Valued Genetic Algorithms and LMI with Applications in a Model Caren_US
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

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