• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.1398-1403
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• 2003

In this paper, a simple method to design an MIMO sound field control system was proposed. The control system was designed to achieve 1) noise attenuation and 2) sound equalization by utilizing feedback and feedforward controllers. The method was based on partial model matching on frequency domain which only required measured frequency response data, or impulse response data in order to tune parameters of the controller. The proposed method was applied to a normal office room and results of experiment showed effectiveness of the proposed method.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1987년도 한국자동제어학술회의논문집; 한국과학기술대학, 충남; 16-17 Oct. 1987
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• pp.150-154
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• 1987

A new mixed approximation method is proposed for the model reduction of high order linear and time-invariant dynamic systems. This method makes allowance for stability and feature retention simultaneously. After defining dominant frequency range which affects relative stability of systems, a part of denominator is obtained using the energy dispersion method and tests are obtained using dominant frequency response matching method. The proposed method reflects the characteristic of the original system more faithfully and guarantees absolute stability of the reduction model.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 1998년도 Proceedings of International Symposium on Remote Sensing
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• pp.342-348
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• 1998

The purpose of this paper is to extract fast DEM (Digital Elevation Model) using satellite images. DEM extraction consists of three parts. First part is the modeling of satellite position and attitude, second part is the matching of two images to find corresponding poults of them and third part is to calculate the elevation of each point by using the result of the first and second part. The position and attitude modeling of satellite is processed by using GCPs. A area based matching method is used to find corresponding points between the stereo satellite images. In the DEM generation system, this procedure holds most of a processing time, therefore a new fast matching algorithm is proposed to reduce the time for matching. The elevation of each point is calculated using the exterior orientation obtained from modeling and disparity from matching. In this paper, the SPOT satellite images, level IA 6000 $\times$6000 panchromatic images are used to extract DEM. The experiment result shows the possibility of fast DEM. extraction with the satellite images.

• International Journal of CAD/CAM
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• 제6권1호
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• pp.125-137
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• 2006

Nowadays, many commercial CAD systems support history-based, constraint-based and feature-based modeling. Unfortunately, most systems fail during the re-evaluation phase when various kind of topological changes occur. This issue is known as "persistent naming" which refers to the problem of identifying entities in an initial parametric model and matching them in the re-evaluated model. Most works in this domain focus on the persistent naming of atomic entities such as vertices, edges or faces. But very few of them consider the persistent naming of aggregates like shells (any set of faces). We propose in this paper a complete framework for identifying and matching any kind of entities based on their underlying topology, and particularly shells. The identifying method is based on the invariant structure of each class of form features (a hierarchical structure of shells) and on its topological evolution (an historical structure of faces). The matching method compares the initial and the re-evaluated topological histories, and computes two measures of topological similarity between any couple of entities occurring in both models. The naming and matching method has been implemented and integrated in a prototype of commercial CAD Software (Topsolid).

• 한국콘텐츠학회논문지
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• 제8권5호
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• pp.44-51
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• 2008

시계열 데이터에서 패턴을 찾고 검색하는 문제는 여러 분야에서 오랫동안 관심을 가지고 연구되어 왔다. 본 논문은 시간의 흐름에 따라 값의 변화를 나타내는 시계열 형태의 주식 데이터에 적용할 수 있는 새로운 패턴 매칭 방법을 제안한다. 우선, 의미를 기반으로 패턴을 정의하고 정의된 패턴에 일치하는 데이터들을 추출하여 학습모델을 작성한다. 그리고 새로운 질의 시퀀스가 어떤 종류의 패턴과 일치하는가는 각 학습 모델과의 유사도를 측정하여 결정하게 된다. 학습 모델은 시계열을 잘 설명하는 것으로 알려진 은닉 마코프 모델을 사용하여 작성하였다. 실험 결과 은닉 마코프 모델의 특성을 사용하여 생성된 각 학습 모델은 주어진 의미를 잘 나타내는 패턴을 생성하였으며, 새로운 시퀀스가 주어졌을 때 일치하는 패턴에 따라서 시퀀스가 가진 의미를 파악할 수 있었다.

• 한국군사과학기술학회지
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• 제5권1호
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• pp.75-82
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• 2002

In this paper, the robust PID(Proportional-Integral-Derivative) controller was designed for speed control of BLDC motors using the frequency region model matching method. It was designed the robust PID controller satisfying disturbance attenuation and robust tracking performance using an H$\infty$ control method. The robust PID controller gains with the performances of the designed H$\infty$ controller are determined using the model matching method at frequency domain. Consequently, simulation results show that the proposed PID speed controller satisfies load torque disturbance attenuation and robust tracking performance, and this study has usefulness and applicability for the speed control system design of BLDC motors.

• Journal of Advanced Marine Engineering and Technology
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• 제20권4호
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• pp.20-26
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• 1996

Recently, for the speed control of a diesel engine, some methods using the modern control theory such as LQ control technique, or $\textit{H}_{\infty}$control theory etc., have been reported. However, most of speed controlers of a diesel engine ever developed are still using the PID control algorithm. And, as another approach to the speed control of a diesel engine, the authors proposed already a new method to adjust the parameters of the PID controller by a model matching method. In the previous paper, the authors confirmed that the proposed new method is superior to Ziegler & Nichols's method through the analysis of results of the digital simulations under the assumption that the parameters of a diesel engine are known exactly. But, actually, it is very difficult to find out the value of parameters of a diesel engine accurately. And the parameters of a diesel engine are changigng according to the operating condition of a diesel engine. So, in this paper, a method to estimate the parameters of the PID controller for the speed control of a diesel engine by means of the model matching method are proposed. Also, the digital simulations are carried out in cases either with or without measurement noise. And this paper confirms that the proposed method here is superior to Ziegler & Nichols's method through the analysis of the characteristics of indicial responses.

• 제어로봇시스템학회논문지
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• 제5권3호
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• pp.363-369
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• 1999

In this paper, we design the robust $H_{\infty}$ controller for water level control of steam generator using a mixed $H_{\infty}$ optimization with model-matching method. Firstly we choose the desired model which has good disturbance rejection performance. Secondly we design a stabilizing controller to keep the model-matching error small and also provide sufficiently large stability margin against additive perturbations of the nominal plant. Simulation results show that proposed robust $H_{\infty}$ controller at specific power operation has satisfactory performances against the variations of load power, steam flow rate, primary circuit coolant temperature, and feedwater temperature. It can be also observed that the proposed robust $H_{\infty}$ controller exhibits better robust stability than conventional PI controller.

• KIEE International Transactions on Electrophysics and Applications
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• 제2C권5호
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• pp.268-272
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• 2002

In this paper, we proposed a procedure to analyze a shielded-microstrip step discontinuity using the mode matching method (MMM) combined with the vector finite element method (VFEM), which is used to find the equivalent waveguide-model for a microstrip. In order to calculate the effective-widths and -dielectric permittivity of the equivalent waveguide-model corresponding shielded-microstrip, the propagation constant and characteristic impedance are calculated from the VFEM. MMM is then applied to find the scattering parameter in the planar waveguide. This technique makes it possible to take advantage of the high accuracy of the VFEM as well as the high efficiency of the MMM.

• 한국음향학회지
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• 제22권2호
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• pp.96-103
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• 2003

본 논문은 매칭 퍼슈잇 (Matching Pursuit)에 인지적인 가중치를 사용하여 오디오 신호를 정현파 모델링하는 것에 대해 기술한다. 매칭 퍼슈잇은 입력 신호에서 에너지가 가장 큰 성분들을 반복적으로 추출해 원 신호와 재생 신호의 차이가 영에 도달될 때까지 계속된다. 본 논문에서는 매칭 퍼슈잇에 심리음향모델을 사용한 인지적인 매칭 퍼슈잇으로 입력 신호로부터 인지적으로 중요한 성분을 차례대로 추출하였다 인지적인 매칭 퍼슈잇의 성능을 평가하기 위해 인지적인 가중치를 주지 않은 정현파 매칭 퍼슈잇과 비교 평가하였다. 여러 가지 입력 신호에 대한 실험 결과 정현파 매칭 퍼슈잇보다 인지적인 매칭 퍼슈잇의 성능이 좋았고, 특히 시간축 변화율이 큰 신호일 경우에 인지적인 매칭 퍼슈잇을 통해 원래 신호의 음질을 더 잘 복원할 수 있었음을 확인하였다.