• 제목/요약/키워드: discrete system

검색결과 2,483건 처리시간 0.032초

IPMs Technology for Inverter-driven Home Appliance Applications

  • Jun-Bae Lee
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2000년도 전력전자학술대회 논문집
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    • pp.456-459
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    • 2000
  • Due to cost-effective and compact system design IPM-based inverters are now being seen as an attractive alternative to conventional discrete-based inverters technique for low power ac drives in particular such as washing machines refrigerators and air-conditioners. Fairchild-IPM newly developed in order to provide the advantages of the lowest cost and better performance is discussed and its specification is given.

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Guaranteed Stability Margins of the Discrete-Time LQ Optimal Regulator for a Performance Index with Cross-Product Terms

  • Fang, Tae-Hyun;Park, Jae-Weon
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2001년도 ICCAS
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    • pp.107.4-107
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    • 2001
  • In this paper, the guaranteed stability margins of LQ optimal regulators for a performance index with cross-product terms are suggested in the discrete-time case. An example for the LQ optimal regulator of an inverted pendulum system is given to demonstrate the validity of the suggested stability margins.

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행렬부호함수를 이용한 이산치 계통의 모델 저차화 (Model-Reduction of Linear Discrete Large-Scale Systems)

  • 천희영;박귀태;이창훈;박승규
    • 대한전기학회논문지
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    • 제35권8호
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    • pp.333-340
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    • 1986
  • This paper presents an approach for determining the discrete reduced-order models for largescale system by using matrix sign function. We define projection operators based on the matrix sign function and develop the algorithm for model-reduction by using them. Simulation studies show that the proposed altgorithm is very useful.

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ULP 자기유지 센서노드 시스템의 시뮬레이션 (Simulation of ULP Self-Sustaining Sensor Node System)

  • 김윤호;성영락;오하령;박준석
    • 한국통신학회논문지
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    • 제34권12B호
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    • pp.1435-1443
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    • 2009
  • 본 논문에서는 에너지 수확 센서 네트워크 시스템을 DEVS 형식론을 이용해서 시뮬레이션하고 모델링한다. 이 시스템은 주전원이나 배터리를 사용하는 싱크(마스터(master)) 노드와 에너지 수확 소자로부터 전원을 공급 받는 센서(slave) 노드로 구성 된다. 시뮬레이션을 위해 (i) 슬레이브 노드에서 에너지 수확하고 저장하는 회로의 동작을 연속적인 구간들로 분할한 후에 각 구간을 이산적인 상태로 표현하고, (ii) 마스터 노드와 슬레이브 노드의 컴포넌트들의 동작의 관계를 면밀하게 분석하여, (iii) 분석된 결과를 DEVS 형식론을 이용하여 모델링하고 시뮬레이션 한다.

네트워크형 이산 시스템의 동정에 관하여 (On Identification of Discrete System Expressed by Network Model)

  • 석상문;강기중;이철영
    • 한국항만학회지
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    • 제14권2호
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    • pp.155-163
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    • 2000
  • A discrete system has interpreted by using the network model, and PERT network is one of these methods. For the purpose of analysing the real system, it is necessary to measure the parameter of the real system. And system identification problem is to assume the parameter of a real system when we get to know the system model, the input data and output data. System identification method has been only developed to a system of which a structure has expressed a differential equation or a polynomial expression. But it has been scarcely developed yet in that case of network model. The aim of this paper is to examine a changes when new system is introduced to the present system. The changes are as follows : how the present system will be changed, when the changes will be happened. In this paper, genetic algorithm is used to assume the parameter.

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네트워크형 이산 시스템의 동정에 관하여 (On Identification of discrete system expressed by Network Model)

  • 석상문;강기중;이철영
    • 한국항해항만학회:학술대회논문집
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    • 한국항해항만학회 1999년도 추계학술대회논문집
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    • pp.101-108
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    • 1999
  • A discrete system has interpreted by using the network model, and PERT network is one of these methods. For the purpose of analysing the real system. it is necessary to measure the parameter of the real system. And system identification problem is to assume the parameter of a real system when we get to know the system model, the input data and output data. System identification method has been only developed to a system of which a structure has expressed a differential equation or a polynomial expression. But it has been scarcely developed yet in that case of network model. The aim of this paper is to examine a changes when new system isn introduced to the present system, The changes are as follows: how the present system will be changed, when the changes will be happened. In this paper, genetic algorithm is used to assume the parameter.

Robust tuning of quadratic criterion-based iterative learning control for linear batch system

  • Kim, Won-Cheol;Lee, Kwang-Soon
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1996년도 Proceedings of the Korea Automatic Control Conference, 11th (KACC); Pohang, Korea; 24-26 Oct. 1996
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    • pp.303-306
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    • 1996
  • We propose a robust tuning method of the quadratic criterion based iterative learning control(Q-ILC) algorithm for discrete-time linear batch system. First, we establish the frequency domain representation for batch systems. Next, a robust convergence condition is derived in the frequency domain. Based on this condition, we propose to optimize the weighting matrices such that the upper bound of the robustness measure is minimized. Through numerical simulation, it is shown that the designed learning filter restores robustness under significant model uncertainty.

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A pole assignment method in a specified disk

  • Nguyen, van-Giap;Kim, Sang-Bong
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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    • pp.601-604
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    • 1997
  • In this paper, a pole assignment problem in the unit disk for a linear discrete system is discussed. The analysis is based on the Luenberger's canonical form and Gershgorin's disk. The proposed method for pole assignment is convenient for a linear time invariant discrete system.

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DISCRETE-TIME ANALYSIS OF OVERLOAD CONTROL FOR BURSTY TRAFFIC

  • Choi, Doo-Il
    • Journal of applied mathematics & informatics
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    • 제8권1호
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    • pp.285-295
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    • 2001
  • We consider a queueing system under overload control to support bursty traffic. The queueing system under overload control is modelled by MMBP/D1/K queue with two thresholds on buffer. Arrival of customer is assumed to be a Markov-modulated Bernoulli process (MMBP) by considering burstiness of traffic. Analysis is done in discrete-time case. Using the generating function method, we obtain the stationary queue length distribution. Finally, the loss probability and the waiting time distribution of a customer are given.