• Title/Summary/Keyword: Ryu-Hee

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Robust $H_{\infty}$ FIR Sampled-Date Filtering for Uncertain Time-Varying Systems with Unknown Nonlinearity

  • Ryu, Hee-Seob;Byung-Moon;Kwon, Oh-Kyu
    • Transactions on Control, Automation and Systems Engineering
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    • v.3 no.2
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    • pp.83-88
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    • 2001

  • The robust linear H(sub)$\infty$ FIR filter, which guarantees a prescribed H(sub)$\infty$ performance, is designed for continuous time-varying systems with unknown cone-bounded nonlinearity. The infinite horizon filtering for time-varying systems is systems is investigated in therms of two Riccati equations by the finite moving horizon.

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Nonlinear Dynamic Manipulator Control Using DNP Controller (DNP 제어기에 의한 비선형 동적 매니퓰레이터 제어)

  • Cho, Hyeon-Seob;Kim, Hee-Sook;Ryu, In-Ho;Jang, Sung-Whan
    • Proceedings of the KIEE Conference
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    • 1999.07b
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    • pp.764-767
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    • 1999

  • In this paper, to bring under robust and accurate control of auto-equipment systems which disturbance, parameter alteration of system, uncertainty and so forth exist, neural network controller called dynamic neural processor(DNP) is designed. Also, the architecture and learning algorithm of the proposed dynamic neural network, the DNP, are described and computer simulations are provided to demonstrate the effectiveness of the proposed learning method using the DNP.

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Implementation of Forced Answer Model for Sensitive Information at On-Line Survey

  • Park, Hee-Chang;Ryu, Jee-Hyun;Lee, Sung-Yong
    • Journal of the Korean Data and Information Science Society
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    • v.14 no.3
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    • pp.489-499
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    • 2003

  • In this paper we implement the system for the forced answer model which is an indirect response technique on the internet as a way of obtaining much more precise information, not revealing secrets of responsors. In this system we consider that respondents are generally reluctant to answer in a survey to get sensitive information targeting employees, customers, etc.

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Implementation of Quantitative Unrelated Question Model for Obtaining Sensitive Information at On-Line Survey

  • Park, Hee-Chang;Ryu, Jee-Hyun;Lee, Sung-Yong
    • Journal of the Korean Data and Information Science Society
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    • v.14 no.3
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    • pp.591-603
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    • 2003

  • This paper is planned to use randomized response technique which is an indirect response technique on internet as a way of obtaining much more precise information, not revealing secrets of responsors, considering that respondents are generally reluctant to answer in a survey to get sensitive information targeting employees, customers, etc.

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Robust Residual Generator for Fault Detection Using H$_{\infty}$ FIR Estimation Method

  • Ryu, Hee-Seob;Yoo, Ho-Jun;Kwony, Oh-Kyu;Yoo, Kyung-Sang
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.33.3-33
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    • 2001

  • This paper considers a fault detection and diagnosis using estimation method in uncertain systems. In the state estimation method, we use the robust H$\infty$ FIR filtering algorithm. A novel aspect of the fault detection technique described here is that it explicitly accounts for the effects of simplified models and errors due to the linearization of nonlinear systems at an operating point.

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