教師著作

Permanent URI for this collectionhttp://rportal.lib.ntnu.edu.tw/handle/20.500.12235/31266

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Start date: 1993End date: 1999

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Now showing 1 - 10 of 27
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    技職體系課程一貫性問題探討--以機械力學課程為例
    (教育部技術及職業教育司, 1999-12-01) 屠名正; 張宏光
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    運用蓋拉金積分法解非均質物體之彈性力場
    (逢甲大學, 1995-11-01) 李永明; 屠名正; 孫玉柱
    在以往研究非均質物體彈性力場的文獻中，基體大多是無限大的，本文則使用蓋拉金積分法，求解三維有限區域基體，含一個或多個球體、橢圓體雜物之非均質物體之彈性力場。本文所解問題之邊界條件為固定值之應變場，而冗長的數學運算則由數值程式配合 Mathematica 軟體來執行。本文也研究不同相介質的機械性質比，夾雜物之體積分率及長寬比等，對彈性力場整體與局部之影響。 經過詳細的分析，下列兩種效應非常顯著（ 1 ）在不同介質界面附近的彈性力場， 會因夾雜物存在而受到干擾，（ 2 ）在不同介質界面間，會有應力集中的現象。
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    專題製作發想活動設計之研究
    (1999-01-01) 吳明雄; 葉榮木; 屠名正; 鍾協衡; 張宗憲
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    On-Learning Neurocontrol of Nonlinear Systems
    (1994-12-01) Yeh, Zong-Mu
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    A self-organizing decentralized fuzzy neural net controller
    (Institute of Electrical and Electronics Engineers (IEEE), 1995-03-20) Yeh, Zong-Mu; Chen, Hung-Pin
    This paper presents a self-organizing decentralized learning controller using fuzzy control and neurocontrol for large-scale nonlinear systems. A new online unsupervised learning method which is based on a performance index of sliding mode control is used to train the fuzzy neural net controller to obtain control actions. To overcome the interactions between the subsystems, a learning algorithm is adopted to modify the control input to improve the system performance. The effectiveness and the performance of the proposed approach are illustrated by the simulation results of a two-inverted pendulum system and a two-link manipulator. The attractive features also include a smaller residual error and robustness against nonlinear interactions.
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    A Decentralized Learning controller for Nonlinear Systems
    (Institute of Electrical and Electronics Engineers (IEEE), 1994-12-05) Yeh, Zong-Mu; Hsu, How-Gao; Lien, Ching-Chieh
    This paper presents a decentralized learning controller for large-scale nonlinear systems. A new learning method which is based on a performance index of sliding mode control is used to derive an iterative learning algorithm to obtain control actions. The effectiveness and the performance of the proposed approach are illustrated by the simulation results of a two-inverted pendulum system and a two-link manipulator. The attractive features also include a smaller residual error and robustness against nonlinear interactions.
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    A Decentralized fuzzy logic controller Design
    (Institute of Electrical and Electronics Engineers (IEEE), 1994-06-26) Yeh, Zong-Mu
    Presents a systematic methodology to the design of a decentralized fuzzy logic controller for large-scale nonlinear systems. A new method which is based on a performance index of sliding mode control is used to derive fuzzy rules and an adaptive algorithm is used to eliminate the chattering phenomenon. The simulation results of a two-inverted pendulum system and a two-link manipulator demonstrate that the attractive features of the proposed approach include a smaller residual error and robustness against nonlinear interactions.
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    A Self-Organized Neural Fuzzy Logic controller
    (1994-12-01) Yeh, Zong-Mu; Tarng, Y.S.; Nian, C.Y.
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    Adaptive Fuzzy Logic controller
    (1995-12-07) Yeh, Zong-Mu