• 제목/요약/키워드: Optimization and identification

검색결과 421건 처리시간 0.024초

ESP 유압 유니트의 모델링 및 $H_{\infty}$ 최적제어 (Modeling and $H_{\infty}$ Optimal Control Design for a Hydraulic Unit in ESP)

  • 유승환;한진오;조영만;이교일
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2004년도 춘계학술대회
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    • pp.733-738
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    • 2004
  • This paper deals with feedback control of a hydraulic unit for direct yaw moment control, a method used to actively maintain the dynamic stability of an automobile. The uncertain parameters and complex structure naturally call for empirical modeling of the hydraulic unit, which readily results in a control-oriented model with high fidelity. The identified model is cross-validated against experimental data under various conditions, which helps to establish model uncertainty. Then, the $H_{\infty}$ optimization technique is employed to synthesize a controller with guaranteed robust stability and performance against the model uncertainty. The performance of the synthesized controller is verified using experimental results, which shows the viability of the proposed approach in a real-world application.

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이동 로봇의 위치 추정을 위한 RFID Tag의 효율적 배치 (The optimal arrangement of RFID tags for mobile robot's position estimation)

  • 송성호;박희환;문승욱;지용관;박장현
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2005년도 추계학술대회 논문집
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    • pp.901-905
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    • 2005
  • It is very important to arrange landmarks when a mobile robot needs to measure its own location. So, it has been discussed often how to arrange landmarks in the optimal way until now. We, there, chose the RFID (Radio frequency Identification) tags as landmarks which can be observed by a mobile robot, and demonstrated the possibility of the optimal arrangement of them. For this work first, we defined the optimization problem and its parameters for the arrangement of tags. Second, we proposed the algorithm which can be applied to the optimization problem. Finally we could obtain closely optimal and practical arrangement with the minimum number of landmarks which satisfied the necessary condition by experimentation.

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해상구조물의 방식설계 최적화를 위한 설계요건 분석 및 시간의존적 방식성능 해석 (Design Requirements Review and Time-dependant CP Performance Analysis for Corrosion Protection Design Optimization of Offshore Structure)

  • 박재철;최유열;편강일;천강우;장화섭;노길태
    • 한국표면공학회지
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    • 제49권5호
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    • pp.408-415
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    • 2016
  • The offshore structures exposed to harsh corrosive such as the marine environment is essential for the quality management technique throughout the life cycle of initial design, construction and operation. Also, it should satisfy the design life and ensure the safety of the substructure with optimization of design process. This study focused on optimization of design condition for corrosion protection of wind turbine structure and computational analyzing was performed to evaluate the performance of corrosion protection with utilizing practical experimental data. We expect this analytical study contribute to improve the corrosion maintenance stability and economical efficiency of designing wind turbine structures. As a result, the design of cathodic protection system using sacrificial anodes required accurate identification of current density in order to meet the long term design life, which can be seen that a change of structure surface's coating breakdown factor is one of the key influencing factors.

영상 인식자를 위한 선형 엔트로피 기반 방법론 (Noble Approach of Linear Entropy based Image Identification)

  • 박제호
    • 반도체디스플레이기술학회지
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    • 제18권3호
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    • pp.31-35
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    • 2019
  • Human beings have been fascinated by the applicability of the medium of photography since the device was first introduced in the thirteenth century to acquire images by attempting primitive and rudimentary approaches. In the 21st century, it has been developed as a wide range of technology that enables not only the application of artistic expression as a method of replacing the human-hand-painted screen but also the planar recording form in the format of video or image. It is more effective to use the information extracted from the image data rather than to use a randomly given file name in order to provide a variety of services in the offline or online system. When extracting an identifier from a region of an image, high cost cannot be avoided. This paper discusses the image entropy-based approach and proposes a linear methodology to measure the image entropy in an effort to devise a solution to this method.

연속탐색공간에 대한 진화적 해석 (Evolutionary Analysis for Continuous Search Space)

  • 이준성;배병규
    • 한국지능시스템학회논문지
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    • 제21권2호
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    • pp.206-211
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    • 2011
  • 본 논문에서는 연속적인 파라미터 공간에 대한 최적화에 대해 진화적 알고리즘의 특징적인 형상화를 제시한다. 이 방법은유전알고리즘이 연속적인 탐색공간에서의 파라미터 식별에 대해 가장 강점을 지녔다는 점에 착안한 것이다. 유전알고리즘과 제안한 알고리즘과의 주요한 차이점은 개별적 또는 연속적인 묘사의 차이가 있다는 것이다. 잘 알려진 실험함수의 최적화문제를 도입하여 연속 탐색공간 문제에 대해 제안하는 알고리즘에 대해 계산시간 및 사용메모리 등의 성능이 우수하다는 효율성을 보였다.

DNA 코딩 기법을 이용한 웨이브렛 기반 퍼지 모델링 (Wavelet-Based Fuzzy Modeling Using a DNA Coding Method)

  • 이연우;유진영;주영훈;박진배
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2003년도 하계학술대회 논문집 D
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    • pp.2040-2042
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    • 2003
  • In this paper, we propose a new method about wavelet-based fuzzy modeling using a DNA coding method. DNA coding techniques is known that expression of knowledge is various than Genetic Algorithm(GA) usually by made optimization technique because done base in structure of biologic DNA and optimization performance is superior. The reposed method make fuzzy system model in wavelet transform and equivalence relation after identification with coefficient of wavelet transform using a DNA coding techniques. Also, can get fuzzy model effectively of nonlinear system using advantage of strong wavelet transform about function that have sudden change. In this paper, in order to demonstrate the superiority of the proposed method compared with GA.

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A Hybrid Modeling Architecture; Self-organizing Neuro-fuzzy Networks

  • Park, Byoungjun;Sungkwun Oh
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2002년도 ICCAS
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    • pp.102.1-102
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    • 2002
  • In this paper, we propose Self-organizing neurofuzzy networks(SONFN) and discuss their comprehensive design methodology. The proposed SONFN is generated from the mutually combined structure of both neurofuzzy networks (NFN) and polynomial neural networks(PNN) for model identification of complex and nonlinear systems. NFN contributes to the formation of the premise part of the SONFN. The consequence part of the SONFN is designed using PNN. The parameters of the membership functions, learning rates and momentum coefficients are adjusted with the use of genetic optimization. We discuss two kinds of SONFN architectures and propose a comprehensive learning algorithm. It is shown that this network...

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IDENTIFICATION OF SKIN TISSUE PARAMETERS FROM THE IMPEDANCE MEASURED OVER THE SKIN SURFACE - SIMULATION

  • Park, K. C.;Y. Kagawa;Y. Zhao;W. Xu
    • 한국시뮬레이션학회:학술대회논문집
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    • 한국시뮬레이션학회 2001년도 The Seoul International Simulation Conference
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    • pp.255-259
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    • 2001
  • A skin tissue system is considered, whose configuration is electrically modelled by a layer over the infinite half space. The problem is to estimate the layer\`s thickness and respective conductivity from the measured impedance between the electrodes placed on the skin surface. A simulation is taken place as the optimization problem which is to minimize the norm between the \"measured\" and the solution for the assumed parameters.arameters.

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단일 틸트윙 방식 무인기의 수직모드 시스템 식별 기법 연구 (A Study on vertical mode system identification for a single tilt wing UAV)

  • 서일원;김승균;석진영
    • 한국항공우주학회지
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    • 제42권11호
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    • pp.937-946
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    • 2014
  • 본 논문에서는 단일 틸트윙 무인기의 시스템 식별기법과 결과를 제시하였다. 주파수 영역의 시스템 식별 기법인 Modified Equation Error Method(MEEM)와 시간 영역의 시스템 식별 기법인 확장 칼만 필터(Extended Kalman Filter, EKF)를 사용하였다. 시스템 식별 기법의 검증을 위해 단일 틸트윙 방식 무인기인 CNUX-3의 모델을 통해 획득한 수직모드의 선형 시뮬레이션 결과에 센서 특성을 반영한 노이즈를 합성하여 가상의 비행데이터를 생성했다. 설계 변수의 변화에 따른 MEEM의 시스템 식별 성능 변화를 분석하였다. 또한 고정밀 푸리에 변환(High accuracy Fourier Transform)을 MEEM에 적용하여 정확도를 향상시켰다. MEEM과 EKF의 시스템 식별 결과를 비교하고, 최상의 성능지수를 갖는 설계 변수값과 초기값을 최적화를 통해 결정하였다.