• 제목/요약/키워드: Parameter estimate

검색결과 1,584건 처리시간 0.037초

만곡부 혼합입경 하상횡경사 모형의 개발 (Development of Transverse Bed Slope Model for Nonuniform Sand Bed at River Bend)

  • 최종인;고재웅
    • 물과 미래
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    • 제29권4호
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    • pp.177-186
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    • 1996
  • 하천 만곡부에서의 하상 횡경사 결정은 유수와 유수의 소류력에 의해 변동하는 하상면과의 상호관계를 규명하는 이론적인 접근에서 출발하게 된다. 이러한 경우 흐름은 완전히 발달한 흐름으로 해석하게 되며 하상에서는 소류사가 일어나고 있는 상태에서 유수력과 하상물질에 의한 저항력간의 평형을 바탕으로 해석을 시도하게 된다. 한계소류력을 대표하는 연구로서 Shields diagram이 많이 이용되고 시동조건으로 Shields parameter를 0.06으로 대표해 주고 있다. 지금까지 만곡부의 하상횡경사 결정에서는 대부분의 방법들이 Shields parameter 의 적용에서 0.06을 일률적으로 채택하고 있다. 본 연구에서는 Shields parameter에서의 실험조건인 균일입경하상이라는 조건이 적용되지 않는 일반 자연하천에서 혼합입경하상의 입도분포곡선 형태에 따라 생기는 Shields parameter의 변동을 고려할 수 있도록 하므로써 보다 정확한 만곡부 하상횡경사 추정이 가능한 방법을 제시하였다.

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확장 칼만 필터를 이용한 항공기 파라미터 추정 (Aircraft parameter estimation using the extended kalman filter)

  • 송용규;황명신;박욱제
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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    • pp.1655-1658
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    • 1997
  • To obtain aircraft dynamic parameters, various estimation methods such as Maximum Likelihood, Linear Regression are applied. In this paper we adopt the extended Kalman filter(EKF) to estimate the stability and control derivatives in aircraft dynamic models from flight test data. The extended Kalman filter is applied to nonlinear augmented system assuming that unknown parameters are additional states. In this work, the results of the extended Kalman filter are compared with the results of the wind tunnel test using Chang Gong-91 aircraft flight test data.

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다수의 미지 가상 입력 계수들을 가지는 비선형 시스템에 대한 적응 안정화 (Adaptive stabilization for nonlinear systems with multiple unknown virtual control coefficients)

  • 서상보;정진우;서진헌;심형보
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2009년도 정보 및 제어 심포지움 논문집
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    • pp.76-78
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    • 2009
  • This paper considers the problem of global adaptive regulation for a class of nonlinear systems which have multiple unknown virtual control coefficient. By using a new parameter estimator and backstepping technique, we design a smooth state feedback control law, parameter update laws that estimate the unknown virtual control coefficients, and a continuously differentiable Lyapunov function which is positive definite and proper.

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State-Space Model Based On-Line Parameter Estimation for Time-Delay Systems

  • Choi, Young-Woo
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2001년도 ICCAS
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    • pp.76.5-76
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    • 2001
  • This paper considers the parameter estimation for the state-space model based time-delay systems in the case that the Lyapunov stability of the system is guaranteed. In order to estimate the parameters, two estimation methods can be proposed which are known as the parallel model and the series parallel model. It is shown that the parameters can be estimated using each method, and also certied that the results are correct by simulations.

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Adaptive Control for the Conventional Mode of Operation of MEMS Gyroscopes

  • Park, Sungsu;Roberto Horowitz
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2002년도 ICCAS
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    • pp.39.2-39
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    • 2002
  • This paper presents adaptive add-on control algorithms for theconventional mode of operation of MEMS z-axis gyroscopes. This scheme is realized by adding an outer loop to a conventional force-balancing scheme that includes a parameter estimation algorithm. The parameter adaptation algorithm estimates the angular rate, identifies and compensates the quadrature error, and may permit on-line automatic mode tuning. The convergence and resolution analysis show that the proposed adaptive add-on control scheme prevents the angular rate estimate from being contaminated by the quadrature error, while keeping ideal resolution performance of a conventional force-balancing scheme.

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PARAMETER ESTIMATION AND SPECTRUM OF FRACTIONAL ARIMA PROCESS

  • Kim, Joo-Mok;Kim, Yun-Kyong
    • Journal of applied mathematics & informatics
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    • 제33권1_2호
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    • pp.203-210
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    • 2015
  • We consider fractional Brownian motion and FARIMA process with Gaussian innovations and show that the suitably scaled distributions of the FARIMA processes converge to fractional Brownian motion in the sense of finite dimensional distributions. We figure out ACF function and estimate the self-similarity parameter H of FARIMA(0, d, 0) by using R/S method. Finally, we display power spectrum density of FARIMA process.

결정적 어닐링 EM 알고리즘을 이용한 칼라 영상의 분할 (Segmentation of Color Image Using the Deterministic Anneanling EM Algorithm)

  • 박종현;박순영;조완현
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 1999년도 추계종합학술대회 논문집
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    • pp.569-572
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    • 1999
  • In this paper we present a color image segmentation algorithm based on statistical models. A novel deterministic annealing Expectation Maximization(EM) formula is derived to estimate the parameters of the Gaussian Mixture Model(GMM) which represents the multi-colored objects statistically. The experimental results show that the proposed deterministic annealing EM is a global optimal solution for the ML parameter estimation and the image field is segmented efficiently by using the parameter estimates.

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유전알고리즘을 이용한 태양전지의 매개변수 추정 (Parameter Estimation of Solar Cell Using a Genetic Algorithm)

  • 순영득;진강규
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2002년도 추계학술대회 논문집 전기기기 및 에너지변환시스템부문
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    • pp.313-316
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    • 2002
  • In this paper, we present an online scheme for parameter estimation of solar cell, based on the model adjustment technique and a genetic algorithm. The ideal diode model and the diode model with series and shunt resistor are used to estimate their parameters. Simulation works using field data in the form of a VI characteristic curve are carried out to demonstrate the effectiveness of the proposed method.

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Estimation of the Scale Parameter in the Weibull Distribution Based on the Quasi-range

  • Woo, Jung-Soo;Lee, Kgoang-Ho
    • Journal of the Korean Statistical Society
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    • 제12권2호
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    • pp.69-80
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    • 1983
  • The purpose of this paper is to obtain representation of the mathematical special functions and the numerical values of the mean square errors for the quasi-ranges in random small smaples ($n \leq 30$) from the Weibull distribution with a shape and a scale parameters, and to estimate the scale parameter by use of unbiased estimator based on the quasi-range. It will be shown that the jackknife estimator of the range is worse than the range of random samples from the given distribution in the sense of the mean square error.

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Testing the Goodness of Fit of a Parametric Model via Smoothing Parameter Estimate

  • Kim, Choongrak
    • Journal of the Korean Statistical Society
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    • 제30권4호
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    • pp.645-660
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    • 2001
  • In this paper we propose a goodness-of-fit test statistic for testing the (null) parametric model versus the (alternative) nonparametric model. Most of existing nonparametric test statistics are based on the residuals which are obtained by regressing the data to a parametric model. Our test is based on the bootstrap estimator of the probability that the smoothing parameter estimator is infinite when fitting residuals to cubic smoothing spline. Power performance of this test is investigated and is compared with many other tests. Illustrative examples based on real data sets are given.

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