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An Indirect Decoupled Adaptive Fuzzy Sliding-Mode Control through width adaptation

  • Kim, Dowoo;Yang, Haiwon;Han, Hongsuck
    • 제어로봇시스템학회:학술대회논문집
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    • pp.62.4-62
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    • 2002
  • $\textbullet$ Contents 1. Introduction $\textbullet$ Contents 2. System Description $\textbullet$ Contents 3. Decoupled Sliding Mde Control $\textbullet$ Contents 4. Decoupled Adaptive Fuzzy Sliding Mode Control through width adaptation $\textbullet$ Contents 5. Simulation Result $\textbullet$ Contents 6. Conclusion

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A Robust Direct Adaptive Controller Design for Nonlinear Systems using High-Order Neural Networks

  • Lee, Hyo-Seop;Cheong, Jin-Hyuk;Rhee, Hyoung-Chan;Yang, Hai-Won
    • 제어로봇시스템학회:학술대회논문집
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    • pp.64.2-64
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    • 2002
  • Contents 1. Introduction $\textbullet$ Contents 2. System description $\textbullet$ Contents 3. Desired feedback control and function approximation $\textbullet$ Contents 4. Robust adaptive controller design $\textbullet$ Contents 5. Simulation study $\textbullet$ Contents 6. Conclusion

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Adaptive Output Feedback Speed Control of Induction Motorswith Uncertain Rotor Resistance and Load Torque

  • Hwang, Young-Ho;Yang, Hai-Won;Kim, Hong-Pil;Kim, Hyung-Joong
    • 제어로봇시스템학회:학술대회논문집
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    • pp.64.4-64
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    • 2002
  • $\textbullet$ Contents 1 Introduction $\textbullet$ Contents 2 Problem Statement $\textbullet$ Contents 3 Adaptive Output Feedback Control Design $\textbullet$ Contents 4 Stability analysis $\textbullet$ Contents 5 Simulation Result $\textbullet$ Contents 6 Conclusions

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Design of PI/PID Controller by CDM for Speed Control of Two-Inertia Systems

  • Kang, Jin-Shig
    • 제어로봇시스템학회:학술대회논문집
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    • pp.76.4-76
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    • 2002
  • $\textbullet$ Contents 1 Introduction $\textbullet$ Contents 2 Model of Two-inertia System $\textbullet$ Contents 3 Concept of CDM $\textbullet$ Contents 4 Controller Design $\textbullet$ Contents 5 Experimental Results $\textbullet$ Contents 6 Conclusions

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The Robot Arm Control by EMG Pattern Recognition

  • Kim, Joo-Woong;Jung, Kyung-Kwon;Park, Jin-Seong;Eom, Ki-Hwan;Son, Dong-Seol;Lee, Hyun-Kwan
    • 제어로봇시스템학회:학술대회논문집
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    • pp.81.3-81
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    • 2002
  • $\textbullet$ Contents 1 Introduction $\textbullet$ Contents 2 EMG Signals and Measurement $\textbullet$ Contents 3 Intelligent Algorithm $\textbullet$ Contents 4 Improved LVQ $\textbullet$ Contents 5 Experiment $\textbullet$ Contents 6 Conclusion

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Length of Conductive Measurement Based-on Basic Theory

  • Tanachaikhan, Lerdlekha;Sriratana, Witsarut;Kummool, Sart
    • 제어로봇시스템학회:학술대회논문집
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    • pp.86.2-86
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    • 2002
  • $\textbullet$ Contents 1 Abstract $\textbullet$ Contents 2 Introduction $\textbullet$ Contents 3 Design of the system $\textbullet$ Contents 4 System testing $\textbullet$ Contents 5 Conclusions $\textbullet$ Contents 6 References

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Position Control of Overhead Crane System by Neural Network Based Self-Tuning Control

  • Burananda, Arnut;Ngamwiwit, Jongkol;Panaudomsup, Sumit;Benjanarasuth, Taworn;Komine, Noriyuki
    • 제어로봇시스템학회:학술대회논문집
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    • pp.48.5-48
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    • 2002
  • $\textbullet$ Contents 1 Introduction $\textbullet$ Contents 2 Crane Description $\textbullet$ Contents 3 Self-tuning Controller Design $\textbullet$ Contents 4 Result of Experiments $\textbullet$ Contents 5 Conclusions $\textbullet$ Contents 6 References

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Personalization of Digital Contents

  • Lee Hyun-Jin;Kim Won-Il
    • International Journal of Contents
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    • v.2 no.2
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    • pp.25-28
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    • 2006
  • In this paper, we present personalization that of important research fields recently. As the interest of individual becomes more diverse, more and more digital contents become personalized. Personalization makes users more satisfied by helping them to use the contents effectively. We discuss the type and the substantial interface of personalization that provides satisfaction to user.

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A Study on Personalized Recommendation Method Based on Contents Using Activity and Location Information (이용자 이용행위 및 콘텐츠 위치정보에 기반한 개인화 추천방법에 관한 연구)

  • Kim, Yong;Kim, Mun-Seok;Kim, Yoon-Beom;Park, Jae-Hong
    • Journal of the Korean Society for information Management
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    • v.26 no.1
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    • pp.81-105
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    • 2009
  • In this paper, we propose user contents using behavior and location information on contents on various channels, such as web, IPTV, for contents distribution. With methods to build user and contents profiles, contents using behavior as an implicit user feedback was applied into machine learning procedure for updating user profiles and contents preference. In machine learning procedure, contents-based and collaborative filtering methods were used to analyze user's contents preference. This study proposes contents location information on web sites for final recommendation contents as well. Finally, we refer to a generalized recommender system for personalization. With those methods, more effective and accurate recommendation service can be possible.