• Title/Summary/Keyword: systems-theory

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Auto tuning of the hydraulic servo control system using fuzzy set theory (퍼지 집합 이론을 응용한 유압 서보 제어계의 자동 이득 조절)

  • 이교일;나종국
    • 제어로봇시스템학회:학술대회논문집
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    • 1987.10b
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    • pp.352-357
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    • 1987
  • The Auto Tuning Controller is designed using Fuzzy set theory. And to verify its validity it is Applied to the Auto Tuner of hydraulic Control System. Fuzzy Tuning Procedures are written by linguistic model and translated into C language formation by preprocessor. Then it is executed with state feedback controller in real time, Fuzzy Logic Controller adjusts state feedback gain by proper tuning logic in each step to satisfy the desired maximum overshoot and settling time.

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EXISTENCE OF PERIODIC SOLUTIONS WITH PRESCRIBED MINIMAL PERIOD FOR A FOURTH ORDER NONLINEAR DIFFERENCE SYSTEM

  • LIU, XIA;ZHOU, TAO;SHI, HAIPING
    • Journal of applied mathematics & informatics
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    • v.36 no.5_6
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    • pp.491-504
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    • 2018
  • In this article, we consider a fourth order nonlinear difference system. By making use of the critical point theory, we obtain some new existence theorems of at least one periodic solution with minimal period. Our main approach used in this article is the variational technique and the Saddle Point Theorem.

Reliability Analysis of AC traction System Substation by using Bayes' Theory (베이즈 이론을 이용한 교류전철변전소의 신뢰도 분석)

  • Kim, Yong-Hyun;Koo, Bon-Hui;Cha, Jun-Min;Kim, Hyung-Chul
    • Proceedings of the KSR Conference
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    • 2008.06a
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    • pp.445-450
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    • 2008
  • The primary role of traction power systems is to provide reliable and continuous electrical energy to satisfy traction loads. AC traction substation transforms power from generation company and supply the power to the electric railway power line. Forced outage rate(FOR) of the equipment of substation should be used in the evaluation. This paper proposes the fast and easy way to evaluate by using Bayes' theory when a new equipment is added to the existing substation facility.

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Structural Vibration Control with $H_{\infty}$ Control Algorithm ($H_{\infty}$제어알고리즘을 이용한 구조물의 진동제어)

  • 고현무
    • Proceedings of the Earthquake Engineering Society of Korea Conference
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    • 1998.10a
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    • pp.93-99
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    • 1998
  • Mathematical model can be obtained by physical law or engineering theory. However it is always incomplete expression of the real system. In active controls to suppress vibration due to earthquake or wind load, modeling errors can often cause the problems of instability and performance degradation. In this paper, robust optimal controller design method using H$\infty$ control theory is developed for the systems which have uncertain natural frequency and design constraints. Numerical results show that the proposed H$\infty$ controller can avoid the performance degradation due to several errors and has better performance than conventional LQR method.

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A Study on the Construction of Dynamic Recursive Control Model through a Machine State Monitoring (기계상태 Monitoring을 통한 동적 Recursive 제어모형 구축에 관한 연구)

  • 윤상원;윤석환;신용백
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.17 no.30
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    • pp.107-116
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    • 1994
  • This paper formulates a dynamic monitoring and control model with a machine state by quality variations in a single lot production system. A monitoring model is based on estimate of machine state obtained using control theory. The model studied in this paper has a great advance from a point of view the combination between quality control (Sampling, Control Chart) and automatic control theory, and can be extended in a several ways.

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Motion Detection Using Electric Field Theory

  • Ono, Naoki;Yang, Yee-Hong
    • Proceedings of the IEEK Conference
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    • 2000.07b
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    • pp.823-826
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    • 2000
  • Motion detection is an important step in computer vision and image processing. Traditional motion detection systems are classified into two categories, namely, feature based and gradient based. In feature based motion detection, features in consecutive frames are detected and matched. Gradient based methods assume that the intensity varies linearly and locally. The method, which we propose, is neither feature nor gradient based but uses the electric field theory. The pixels in an image are modeled as point charges and motion is detected by using the variations between the two electric fields produced by the charges corresponding to the two images.

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Simultaneous fault Current Analysis by the Ybus Decomposition Method (Ybus분해법에 의한 다중사고 고장전류 해석)

  • 문영현;오용택;박재용
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.37 no.2
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    • pp.73-79
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    • 1988
  • A fault current in Simultaneous faults is calulated, which satisfies the reliability for expansion of power scale. New algorithm for analyzing fault current is developed, which calculates exactly thevnin equivalent impedance from fault point by cecomposing increment bus admittance matrix ( Ybus), and fault current is calculated by applying multiport theory. The signeficant results are as follows ` 1) When system fault changes system configulation, equivalent impedance can be calculated simply with this new algorithm. 2) Mutual coupling of transmission line can be calculated efficiently. 3) Simultaneous fault current is analyzed by applying multiport theory, which can be applicable to large scale systems.

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A Probabilistic Model for the Prediction of Burr Formation in Face Milling

  • Suneung Ahn
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.23 no.60
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    • pp.23-36
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    • 2000
  • A probabilistic model of burr formation in face milling of gray cast iron is proposed. During a face milling operation, an irregular pattern of the edge profile consisting of burrs and edge breakouts is observed at the end of cut. Based on the metal cutting theory, we derive a probabilistic model. The operational bayesian modeling approach is adopted to include the relevant theory in the model.

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A Belief Network Approach for Development of a Nuclear Power Plant Diagnosis System

  • I.K. Hwang;Kim, J.T.;Lee, D.Y.;C.H. Jung;Kim, J.Y.;Lee, J.S.;Ha, C.S .m
    • Proceedings of the Korean Nuclear Society Conference
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    • 1998.05a
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    • pp.273-278
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    • 1998
  • Belief network(or Bayesian network) based on Bayes' rule in probabilistic theory can be applied to the reasoning of diagnostic systems. This paper describes the basic theory of concept and feasibility of using the network for diagnosis of nuclear power plants. An example shows that the probabilities of root causes of a failure are calculated from the measured or believed evidences.

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A Theory of Hot Gas Atomisation

  • Dunkley, J. J.;Fedorov, D.;Wolf, G.
    • Proceedings of the Korean Powder Metallurgy Institute Conference
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    • 2006.09a
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    • pp.10-11
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    • 2006
  • The use of hot gas in melt atomization has been widely reported, but little detailed experimental data on its precise effects and no satisfactory theory to explain them have been published. In this paper the authors present experimental data on the atomization of metals with gas at temperatures from ambient to 1000C, a semi-empirical equation relating particle size to gas temperature and flow rate, and an analysis of the gas dynamics of the atomization process that allows some insight into the process.

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