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Model-Based Fuzzy Modeling and Control for Autonomous Underwater Vehicles in the Horizontal Plane

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並列摘要


In this paper, the modeling and control of nonlinear Autonomous Underwater Vehicle (AUV) system is considered by using a Takagi-Sugeno (T-S) type fuzzy model. Applying the AUV T-S fuzzy model, one can develop a model-based fuzzy controller design utilizing the concept of Parallel Distributed Compensation (PDC). The main idea of the controller design approach is to derive each control rule so as to compensate each rule of a fuzzy system. The design procedure is conceptually simple and natural. Finally, the responses of states of AUV dynamic real system and AUV dynamic T-S fuzzy model will be shown in the simulation.

被引用紀錄


余昆庭(2011)。具機器視覺之模糊停車系統研究〔碩士論文,淡江大學〕。華藝線上圖書館。https://doi.org/10.6846/TKU.2011.00542
林伯彥(2010)。以機器視覺為基礎實現自走車車道追跡系統〔碩士論文,淡江大學〕。華藝線上圖書館。https://doi.org/10.6846/TKU.2010.00541
莊政達(2010)。以視覺為基礎之模糊倒車入庫控制系統研究〔碩士論文,淡江大學〕。華藝線上圖書館。https://doi.org/10.6846/TKU.2010.00451
蘇育平(2010)。以機器視覺為基礎之智慧型自動停車系統研究〔碩士論文,淡江大學〕。華藝線上圖書館。https://doi.org/10.6846/TKU.2009.00685
陳琮為(2014)。以模糊控制為基礎之智慧型輪椅之自動充電實現〔碩士論文,國立臺北科技大學〕。華藝線上圖書館。https://doi.org/10.6841/NTUT.2014.00775

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