• 전력전자학회:학술대회논문집
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• 전력전자학회 2007년도 하계학술대회 논문집
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• pp.135-137
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• 2007

A phase shifted full-bridge PWM converter (PSFBC) has been used as the most popular topology for many applications. But, for the reasons of the cost and performance, the control circuits for the PSFBC have generally been implemented using analog circuits. The studies on the digital control of the PSFBC were recently presented. However, they considered only the digital implementation of the analog controller. This paper presents the modeling and design of the digital controller for the PSFBC in the discrete time domain. The discretized PSFBC model is first derived considering the sampling effect. Based on this model, the digital controller is directly designed in discrete time domain. The simulation and experimental results are provided to verify the proposed modeling and controller design.

• 한국산업정보학회논문지
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• 제21권6호
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• pp.1-12
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• 2016

본 논문에서는 D-정책을 갖는 이산시간 BMAP/G/1 대기행렬시스템의 일량을 분석한다. 유휴한 서버는 시스템에 도착한 고객집단의 서비스시간의 총합이 이미 정해진 일량 임계값 D를 초과하면 시스템에 서비스할 고객이 없을 때까지 서비스를 제공한다. 시스템의 안정상태 일량변환벡터를 유도하고 성능척도로서 평균일량을 구하였다. 시뮬레이션을 통해 이론값들의 타당성을 검증하고 간단한 수치예제를 보였다.

• 한국항행학회논문지
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• 제13권5호
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• pp.756-762
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• 2009

비선형 마찰인 유압 작동기의 스틱-슬립 마찰은 정확성과 응답성에 문제가 된다. 그러므로 마찰보상은 다양한 제어알고리즘을 통하여 연구되어 왔다. 적응이산시간 슬라이딩 추종제어기는 유압작동기 내의 비선형 마찰 특성을 보상하기 위하여 적용하였다. 다오판틴 방정식을 기초로 하여 새로운 이산시간 슬라이딩 함수는 마찰과 모델링 오차를 포함하여 제어법칙을 정의하였다. 비선형 파라미터의 추종성을 기초로 슬라이딩 함수와 프로젝션 항수를 이용하여 강인성을 높였다. 시뮬레이션과 실험결과는 좋은 추종성능을 얻었다.

• 전기학회논문지
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• 제65권12호
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• pp.2046-2052
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• 2016

Ramp metering is one of the most efficient and widely used control methods for an intelligent transportation management system on a freeway. Its objective is to control and upgrade freeway traffic by regulating the number of vehicles entering the freeway entrance ramp, in such a way that not only the alleviation of the congestion but also the smoothing of the traffic flow around the desired density level can be achieved for the maintenance of the maximum mainline throughput. When the cycle of the signal detection is larger than that of the system process, the density tracking problem needs to be considered in the form of the discrete-time system. Therefore, a discrete-time sliding mode control method is proposed for the ramp metering problem in the presence of both input constraint in the on-ramp and exogenous disturbance in the off-ramp considering the random behavior of the driver. Simulations were performed using a validated second-order macroscopic traffic flow model in Matlab environment and the simulation results indicate that proposed control method can achieve better performance than previously well-known ALINEA strategy in the sense that mainstream flow throughput is maximized and congestion is alleviated even in the presence of input constraint and exogenous disturbance.

• 한국국방경영분석학회지
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• 제30권1호
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• pp.70-80
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• 2004

In discrete red and black, you can stake any amount s in your possession, but the value of s takes positive integer value. Suppose your goal is N and your current fortune is f, with 0＜f＜N. You win back your stake and as much more with probability p and lose your stake with probability, q = 1-p. In this study, we consider optimum strategies for this game with the value of p greater than $\frac{1}{2}$ where the player has the advantage over the house. The optimum strategy at any f when p>$\frac{1}{2}$ is to play timidly, which is to bet 1 all the time. This is called as Timid1 strategy. In this paper, we perform the simulation study to show that the Timid1 strategy is optimum in discrete red and black when p＞\frac{1}{2}.

• 산업경영시스템학회지
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• 제40권1호
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• pp.95-104
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• 2017

This paper deals with solution methods for discrete and multi-valued optimization problems. The objective function of the problem incorporates noise effects generated in case that fitness evaluation is accomplished by computer based experiments such as Monte Carlo simulation or discrete event simulation. Meta heuristics including Genetic Algorithm (GA) and Discrete Particle Swarm Optimization (DPSO) can be used to solve these simulation based multi-valued optimization problems. In applying these population based meta heuristics to simulation based optimization problem, samples size to estimate the expected fitness value of a solution and population (particle) size in a generation (step) should be carefully determined to obtain reliable solutions. Under realistic environment with restriction on available computation time, there exists trade-off between these values. In this paper, the effects of sample and population sizes are analyzed under well-known multi-modal and multi-dimensional test functions with randomly generated noise effects. From the experimental results, it is shown that the performance of DPSO is superior to that of GA. While appropriate determination of population sizes is more important than sample size in GA, appropriate determination of sample size is more important than particle size in DPSO. Especially in DPSO, the solution quality under increasing sample sizes with steps is inferior to constant or decreasing sample sizes with steps. Furthermore, the performance of DPSO is improved when OCBA (Optimal Computing Budget Allocation) is incorporated in selecting the best particle in each step. In applying OCBA in DPSO, smaller value of incremental sample size is preferred to obtain better solutions.

• 한국시뮬레이션학회논문지
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• 제15권1호
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• pp.43-50
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• 2006

UAV(Unmanned Air Vehicle) 시스템은 새로운 알고리즘과 소프트웨어 디자인에 바탕을 두고 빠르게 발전하고 있다. 빠르게 발전하는 현대의 UAV 시스템은 상황에 따른 효과적이고 지능적인 제어를 요구한다. 이에 본 논문에서는 UAV 시스템의 효과적이고 지능적인 제어를 위하여 이산사건 시스템인 조종사 모델과의 연동 모델링을 제안한다. 비행기 모델은 연속시간 시스템으로 표현되며, 자세한 표현력을 바탕으로 정량적이고 정확한 비행기 모델을 표현할 수 있다. 또한, 조종사 모델은 이산사건 시스템으로 표현되며, 각 사건과 시스템의 상태에 따른 정성적인 행동제어를 가능하게 한다. 본 연구는 한국항공대학교에서 개발한 이산사건 시뮬레이터인 DEJAVA(DEVS Java)와 연속시간시뮬레이터인 MATLAB 시뮬레이터 환경을 바탕으로 NASA에서 개발된 HL20 비행시뮬레이터와 지능제어시스템을 이용한 조종사 모델을 사용하여 구현되었다.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2002년도 전력전자학술대회 논문집
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• pp.533-537
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• 2002

A fast time domain modeling and simulation is performed for the input-series-output-parallel connected 2-switch forward converter Steady-state and large-signal transient responses due to a step load change are simulated. The simulation results are verified through experiments.

• 한국정밀공학회지
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• 제20권5호
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• pp.47-56
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• 2003

Geometric cutting-simulation and verification play an important role in detecting NC machining errors in mold & die manufacturing and thereby reducing correcting time & cost on the shop floor. Current researches in the area may be categorized into view-based, solid-based, and discrete vector-based methods mainly depending on workpiece models. Each methodology has its own strengths and weaknesses in terms of computing speed, representation accuracy, and its ability of numerical inspection. The paper proposes a hybrid modeling scheme for workpiece representation with z-map model and discrete vector model, which performs 3-axis and 5-axis cutting-simulation via tool swept surface construction by connecting a sequence of silhouette curves.

• 전자공학회논문지A
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• 제32A권4호
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• pp.15-23
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• 1995

In this paper, we evaluate the performance of a transient queueing approximation when it is applied to modeling computer communication networks. An operational computer network that uses the ISO IS-IS(Intermediate System-Intermediate System) routing protocol is modeled as a Jackson network. The primary goal of the approximation pursued in the study was to provide transient queue statistics comparable in accuracy to the results from conventional Monte Carlo simulations. A closure approximation of the M/M/1 queueing system was extended to the general Jackson network in order to obtain transient queue statistics. The performance of the approximation was compared to a discrete event simulation under nonstationary conditions. The transient results from the two simulations are compared on the basis of queue size and computer execution time. Under nonstationary conditions, the approximations for the mean and variance of the number of packets in the queue erer fairly close to the simulation values. The approximation offered substantial speed improvements over the discrete event simulation. The closure approximation provided a good alternative Monte Carlo simulation of the computer networks.