• Title/Summary/Keyword: recursive

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A Study on Real-Time Inertia Estimation Method for STSAT-3 (과학기술위성 3호 실시간 관성모멘트 추정 기법 연구)

  • Kim, Kwangjin;Lee, Sangchul;Oh, Hwa-Suk
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.20 no.4
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    • pp.1-6
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    • 2012
  • The accurate information of mass properties is required for the precise control of the spacecraft. The mass properties, mass and inertia, are changeable by some reasons such as consumption of propellant, deployment of solar panel, sloshing, environmental effect, etc. The gyro-based attitude data including noise and bias reduces the control accuracy so it needs to be compensated for improvement. This paper introduces a real-time inertia estimation method for the attitude determination of STSAT-3, Korea Science Technology Satellite. In this method we first filter the gyro noise with the Extended Kalman Filter(EKF), and then estimate the moment of inertia by using the filtered data from the EKF based on the Recursive Least Square(RLS).

Comparison of Structural Change Tests in Linear Regression Models

  • Kim, Jae-Hee
    • The Korean Journal of Applied Statistics
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    • v.24 no.6
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    • pp.1197-1211
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    • 2011
  • The actual power performance of historical structural change tests are compared under various alternatives. The tests of interest are F, CUSUM, MOSUM, Moving Estimates and empirical distribution function tests with both recursive and ordinary least-squares residuals. Our comparison of the structural tests involves limiting distributions under the hypothesis, the ability to detect the alternative hypotheses under one or double structural change, and smooth change in parameters. Even though no version is uniformly superior to the other, the knowledge about the properties of those tests and connections between these tests can be used in practical structural change tests and in further research on other change tests.

A Study on Frequency Estimation using Recursive Discrete Wavelet Transform (Fast Recursive Discrete Wavelet Transform 에 의한 주파수 추정)

  • Park, Chul-Won;Ban, Yu-Hyeon
    • Proceedings of the KIEE Conference
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    • 2011.07a
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    • pp.172-173
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    • 2011
  • 전력시스템 주파수는 주파수 계전기용도 이외에 전력시스템에 대용량 집중전원 및 소규모 분산전원이 연계될 때 동기 검정 계전기와 발전기 및 소내 변압기의 과여자 상태를 감지하는 V/F 계전기에서도 사용된다. 주파수 계측장치는 주파수 및 주파수 편이를 실시간으로 정확하고 신속하게 측정함으로서 정규 주파수를 유지시키고 더 나아가 사고파급방지에 대한 책무를 수행해야 한다. DFT필터는 광범위하게 사용되었으나 주파수가 편이하게 되면 오차가 발생된다. 근래 웨이브릿 변환이 새로운 주목을 받고 것은 지속적인 연구 결과, 단일 반복 방정식 형태로 연산 부담이 적어 실시간 신호 처리에 적당한 고속 반복 이산 웨이브릿 변환이 제시되었기 때문으로 생각된다. 본 논문에서는 FRDWT에 의한 주파수 추정 기법을 제시하고자 한다. 제시된 기법의 성능 평가는 발전기 내부사고와 외부사고 데이터에 의해 이루어졌다.

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Recursive Linear Robust Moving Target Tracking Filter Using Range Difference Information Measured by Multiple UAVs (다중 UAV에 의해 획득된 거리 차 측정치를 이용한 순환 선형 강인 이동 표적추적 필터)

  • Lee, Hye-Kyung;Ra, Won-Sang
    • Proceedings of the KIEE Conference
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    • 2011.07a
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    • pp.1738-1739
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    • 2011
  • In this paper, the range difference based the moving target tracking problem using multiple UAVs is solved within the new framework of linear robust state estimation. To do this, the relative kinematics is modeled as an uncertain linear system containing stochastic parametric uncertainties in its measurement matrix. Applying the non-conservative robust Kalman filter for the uncertain system, a quasi-optimal linear target tracking filter is designed. For its recursive linear filter structure, the proposed method can ensure the fast convergence and reliable target tracking performance. Moreover, it is suitable for real-time applications using multiple UAVs.

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Acoustic Source Tracker Based on Pseudo-Linear DOA Estimator for Autonomous Robots (자율이동로봇 이동음원 추적센서 개발을 위한 의사선형 도래각 추정기법)

  • Lim, Jae-Il;Ra, Won-Sang
    • Proceedings of the KIEE Conference
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    • 2011.07a
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    • pp.1788-1789
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    • 2011
  • In order to develop a one-axis gimbaled acoustic source tracker for mobile robots, a pseudo-linear direction of arrival(DOA) estimator is proposed using a linear ultrasonic sensor array. Under the assumption that the sensor measurement errors are negligible, a linear measurement model is derived using the linear prediction relation of the received sinusoidal acoustic signals. Applying the Kalman filtering technique for this model, the linear recursive DOA estimator is designed. For its linear recursive filter structure, it is preferable for real-time implementation on a commercial DSP. Through the experiments, the effectiveness of the suggested method is demonstrated.

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A Study on the Parameters Estimation of Electro-Hydraulic Servo Systems Using RMSM (RLSM 방법을 이용한 전기 유압 서보 시스템의 파라미터 추정에 관한 연구)

  • Kim, Byeong-Woo;Hur, Jin
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.60 no.8
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    • pp.1510-1514
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    • 2011
  • In this paper, linear discrete model of the electro-hydraulic servo system are made for parameters estimation. The parameters of electro-hydraulic servo system are estimated using the recursive least square method. Persistent excitation conditions are studied in order to estimate parameters of electro-hydraulic servo system to real values and parameters estimation affections are studied due to the forgetting factors variation. As the results, An parameter estimation method has been synthesized for minimizing the error between reference and error.

Economic Design of Automated Spiral Parking System

  • Oh, Yonghui;Sung, Yun Chul;Hwang, Hark
    • Industrial Engineering and Management Systems
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    • v.7 no.2
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    • pp.182-188
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    • 2008
  • Automated parking systems, which automatically park and retrieve vehicles, have been steadily replacing conventional parking systems. The spiral parking system is a type of automated parking systems that has cylindrical parking tower. We develop an economic design model of spiral parking system based on a recursive optimization and simulation procedure in which the dynamic nature of the parking system can be integrated into the mathematical programming model. The optimal values of design parameters are found that gives the minimum total cost while complying with the desired performance of the system.

Analysis of Various Characteristics of the Half Pancake Graph (하프팬케익 그래프의 다양한 성질 분석)

  • Seo, Jung-Hyun;Lee, HyeongOk
    • Journal of Korea Multimedia Society
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    • v.17 no.6
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    • pp.725-732
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    • 2014
  • The Pancake graph is node symmetric and useful interconnection network in the field of data sorting algorithm. The Half Pancake graph is a new interconnection network that reduces the degree of the Pancake graph by approximately half and improves the network cost of the Pancake graph. In this paper, we analyze topological properties of the Half Pancake graph $HP_n$. Fist, we prove that $HP_n$ has maximally fault tolerance and recursive scalability. In addition, we show that in $HP_n$, there are isomorphic graphs of low-dimensional $HP_n$. Also, we propose that the Bubblesort $B_n$ can be embedded into Half Pancake $HP_n$ with dilation 5, expansion 1. These results mean that various algorithms designed for the Pancake graph and the Bubble sort graph can be executed on $HP_n$ efficiently.

A Study on the Design of Adaptive EWMA Control Chart using Kalman Gain Recursive Average (칼만 게인 궤환 평균을 이용한 적응 EWMA 관리도 설계)

  • Yoon, Sangwon;Yoon, Seokhwan;Shin, Yongback
    • Journal of Korean Society for Quality Management
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    • v.24 no.1
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    • pp.73-86
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    • 1996
  • Adaptive EWMA(Exponentially Weighted Moving Average)-x control chart using the Kalman gain recursive average is designed. The designed control chart is effective to on-line process monitoring as continuous flow processes. Performance evaluation between the designed control chart and traditional one is implemented. For this, ARL(Average Run Length) is adopted as a criterion. Results show that the designed adaptive EWMA-x control chart has shorter ARL than EWMA-x control chart when process mean is shifted. This model can be extended to process prevention control. The methodology proposed in this research is turned out to show the high performance than that of the given methodologies.

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An Innovative Application Method of Monthly Load Forecasting for Smart IEDs

  • Choi, Myeon-Song;Xiang, Ling;Lee, Seung-Jae;Kim, Tae-Wan
    • Journal of Electrical Engineering and Technology
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    • v.8 no.5
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    • pp.984-990
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    • 2013
  • This paper develops a new Intelligent Electronic Device (IED), and then presents an application method of a monthly load forecasting algorithm on the smart IEDs. A Multiple Linear Regression (MLR) model implemented with Recursive Least Square (RLS) estimation is established in the algorithm. Case Study proves the accuracy and reliability of this algorithm and demonstrates the practical meanings through designed screens. The application method shows the general way to make use of IED's smart characteristics and thereby reveals a broad prospect of smart function realization in application.