• 제목/요약/키워드: Reduced Model

검색결과 6,375건 처리시간 0.038초

RLC 연결선의 축소모형을 이용한 지연시간 계산방법 (A Delay Estimation Method using Reduced Model of RLC Interconnects)

  • 정문성;김기영;김석윤
    • 대한전기학회논문지:전기물성ㆍ응용부문C
    • /
    • 제54권8호
    • /
    • pp.350-354
    • /
    • 2005
  • This paper proposes a new method for delay time calculation in RLC interconnects. This method is simple, but precise. The proposed method can calculate delay time of RLC interconnects by simple numerical formula calculation without complex moment calculation using reduced model in RLC interconnects. The results using the proposed method for RLC circuits show that average relative error is within $10\%$ in comparison with HSPICE simulation results.

A Multi-period Behavioral Model for Portfolio Selection Problem

  • Pederzoli, G.;Srinivasan, R.
    • 한국경영과학회지
    • /
    • 제6권2호
    • /
    • pp.35-49
    • /
    • 1981
  • This paper is concerned with developing a Multi-period Behavioral Model for the portfolio selection problem. The unique feature of the model is that it treats a number of factors and decision variables considered germane in decision making on an interrelated basis. The formulated problem has the structure of a Chance Constrained programming Model. Then empoloying arguments of Central Limit Theorem and normality assumption the stochastic model is reduced to that of a Non-Linear Programming Model. Finally, a number of interesting properties for the reduced model are established.

  • PDF

Bounded real 전달함수의 이산모델 차수줄임 (Discrete model reduction of bounded real transfer functions)

  • 오도창;정은태;박홍배
    • 전자공학회논문지B
    • /
    • 제33B권5호
    • /
    • pp.33-40
    • /
    • 1996
  • In this paper, we propose the discrete model reduction method of bounded real transfer functions. From the discrete bounded real lemma, we obtain the two riccati equations and define the disrete bounded real balancing using solutions of these two riccati equations. And we get the reduced order discrete model from the GSPA of full order model. Especially, when free parameter of GSPA is .+-.1, we show that the reduced order discrete model retains minimality, stability, and bounded real and BR-balancing properties. And we derive the .inf.-norm error bound between full order model and reduced order model. Finally to illustrate the validity of proposed method, we give an example.

  • PDF

New model reduction method and optimized the Smith predictor disign using reduced model

  • Jeoung nae choi;joon ho Cho;Hwang, Hyung-Soo;Park, Moon-Soo
    • 제어로봇시스템학회:학술대회논문집
    • /
    • 제어로봇시스템학회 2002년도 ICCAS
    • /
    • pp.62.3-62
    • /
    • 2002
  • In this paper, we proposed a control technique that can be applied to various processes. The most of the process can bereduced to second order plus time delay (SOPTD) model. And we proposed improved model reduction algorithm using geneticalgorithm. This method considered four points to reduce the error between original model and reduced model in the Nyquistcurve. And, to compensate time delay, the Smith predictor plus PID controller is adopted. And a new PID tuning algorithm wasproposed, which got from numerical analysis and can be obtained the optimal performance. The PID parameters are obtainedfrom the coefficients and time delay of reduced model. The simulation results show the validity.

  • PDF

Software Effort Estimation in Rapidly Changing Computng Environment

  • Eung S. Jun;Lee, Jae K.
    • 한국지능정보시스템학회:학술대회논문집
    • /
    • 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
    • /
    • pp.133-141
    • /
    • 2001
  • Since the computing environment changes very rapidly, the estimation of software effort is very difficult because it is not easy to collect a sufficient number of relevant cases from the historical data. If we pinpoint the cases, the number of cases becomes too small. However is we adopt too many cases, the relevance declines. So in this paper we attempt to balance the number of cases and relevance. Since many researches on software effort estimation showed that the neural network models perform at least as well as the other approaches, so we selected the neural network model as the basic estimator. We propose a search method that finds the right level of relevant cases for the neural network model. For the selected case set. eliminating the qualitative input factors with the same values can reduce the scale of the neural network model. Since there exists a multitude of combinations of case sets, we need to search for the optimal reduced neural network model and corresponding case, set. To find the quasi-optimal model from the hierarchy of reduced neural network models, we adopted the beam search technique and devised the Case-Set Selection Algorithm. This algorithm can be adopted in the case-adaptive software effort estimation systems.

  • PDF

AC/DC 하이브리드 선로의 전기환경특성 예측을 위한 축소모델 개발 (A Development of Reduced-scale Model to Predict of Environmental Characteristics of AC/DC Hybrid Overhead Transmission Line)

  • 최인혁;신구용;이동일;임재섭;김영홍;맹종호;주문노
    • 전기학회논문지
    • /
    • 제61권5호
    • /
    • pp.676-682
    • /
    • 2012
  • To review application of HVDC (High Voltage Direct Current) transmission line to HVAC T/L in operation, reduced-scale model was designed and manufactured. The arms of model were designed to change height and interval of conductors. Electrical environmental interferences were estimated by various configuration of AC 345kV and DC 250kV T/L. The interferences such as electric field intensity and ion current density were measured and converted reduced-scale factor to full-scaled. Additionally, effects between AC and DC T/L were studied.

발란싱축소화로 구한 축소모델로부터 원 시스템 상태변수를 구하는 방법 (Approximation of the State Variables of the Original System from the Balanced Reduced Model)

  • 정광영
    • 제어로봇시스템학회:학술대회논문집
    • /
    • 제어로봇시스템학회 2000년도 제15차 학술회의논문집
    • /
    • pp.333-333
    • /
    • 2000
  • When the generalized singular perturbation method is used for model reduction, the state variables of the original system is reconstructed from the reduced order model. The state reduction error is defined, which shows how well the reconstructed state variables approximate the state variables of the original system equation.

  • PDF

증류공정의 차수감소모델 개발 및 비선형휠터기법을 이용한 모델인식에 관한 연구 (A study on development of a reduced-order distillation model and identification using nonlinear filtering techniques)

  • 김홍식;이광순
    • 제어로봇시스템학회:학술대회논문집
    • /
    • 제어로봇시스템학회 1989년도 한국자동제어학술회의논문집; Seoul, Korea; 27-28 Oct. 1989
    • /
    • pp.367-371
    • /
    • 1989
  • A linear form of reduced-order distillation model is proposed, which contains the physical properties of distillation process and can be used in real time applications. The proposed model is linear in terms of liquid mole fraction and contains some tuning parameters. To verify the applicability of the proposed model, the model identification using nonlinear filtering techniques was applied. As a result, it was found that this model represented the simulated distillation process very closely as the parameters were converged.

  • PDF

풍력발전기 축소 구조 모델의 진동특성 연구 (A Study on the Vibration Characteristics of the Reduced Structure Model of Wind Turbine Generator)

  • 박무열;은성용;김석현
    • 산업기술연구
    • /
    • 제24권B호
    • /
    • pp.83-87
    • /
    • 2004
  • A reduced structure model of a wind turbine generator is designed and manufactured. Mode data are obtained by modal testing and analytical method. Vibration response is measured and investigated under various speed condition by using a waterfall plot. Possibility of severe resonance is observed and the mechanism is explained by using the mode data. Simplified theoretical model gives the 1st resonance frequency of wind turbine structure model. The theoretical model can be applied in the design stage of the wind turbine structure to avoid the severe resonance problem.

  • PDF

축소 화학반응 모델링에 의한 탄화수소 연료의 점화지연 특성 (Characteristics of the Ignition Delay for Hydrocarbon Fuels by Reduced Chemical Kinetics Modeling)

  • 김형욱;배상수;민경덕
    • 한국자동차공학회논문집
    • /
    • 제9권4호
    • /
    • pp.44-49
    • /
    • 2001
  • Reduced chemical kinetics mechanism has been derived, which can be applicable for autoignition model of hydrocarbon fuels, and contains 23 reactions and 18 species. The present model is validated with the experimental data, where the ignition delays of several hydrocarbon fuels, such as n-heptane, i-octane, n-decane and DME(dimethylether) are measured as equivalence ratios are varied. Especially, the effects of different fuels on ignition delays can be explained by changing the rate constants of three reactions among the present model. As a result, the proposed model can be applicable to two stage ignition model of Diesel combustion.

  • PDF