• 제목/요약/키워드: 이동최소자승

검색결과 125건 처리시간 0.032초

IG와 PSO기반 퍼지추론 시스템의 최적 설계 (Optimal Design of Fuzzy Inference System Based on Information Granulation and Particle Swarm Optimization)

  • 김욱동;이동진;오성권
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2009년도 제40회 하계학술대회
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    • pp.1865_1866
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    • 2009
  • 본 연구에서는 복잡하고 비선형 시스템의 모델을 동정하기 위해 Information Granulation에 기반한 퍼지추론 시스템의 새로운 범주를 소개한다. Information Granulation은 근접성, 유사성 EH는 기능성 등에 인하여 서로 결합되는 대상(특히, 데이터)의 연결된 모임으로 간주된다. HCM클러스터링에 의한 Information Granulation은 퍼지 규칙의 전반부 및 후반부에서 사용되는 멤버쉽 함수의 초기 정점과 다항식함수의 초기 값과 같은 퍼지 모델의 초기 파라미터를 결정하는데 도움을 준다. 그리고 초기 파라미터는 PSO 알고리즘과 최소자승법에 의해 효과적으로 동조된다. 제안된 모델은 Box와 jenkins가 사용한 가스로 공정[6]을 모델링하여 기존 퍼지 모델링 방법과 비교 평가한다.

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비선형 최소 자승법을 이용한 이동 로봇의 비주얼 서보 네비게이션 (Visual Servo Navigation of a Mobile Robot Using Nonlinear Least Squares Optimization for Large Residual)

  • 김곤우;남경태;이상무;손웅희
    • 로봇학회논문지
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    • 제2권4호
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    • pp.327-333
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    • 2007
  • We propose a navigation algorithm using image-based visual servoing utilizing a fixed camera. We define the mobile robot navigation problem as an unconstrained optimization problem to minimize the image error between the goal position and the position of a mobile robot. The residual function which is the image error between the position of a mobile robot and the goal position is generally large for this navigation problem. So, this navigation problem can be considered as the nonlinear least squares problem for the large residual case. For large residual, we propose a method to find the second-order term using the secant approximation method. The performance was evaluated using the simulation.

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채터모델링과 진단법에 관한 연구 (A Study on the Modeling and Diagnostics on Chatter in Endmilling Operation)

  • 김영국;윤문철;하만경;심성보
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2001년도 춘계학술대회 논문집
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    • pp.971-974
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    • 2001
  • In this study, the static and dynamic characteristics of endmilling process was modelled and the analytic realization of chatter mechanism was discussed. In this regard, We have discussed on the comparative assessment of recursive time series modeling algorithms that can represent the machining process and detect the abnormal machining behaviors in precision endmilling operation. In this study, simulation and experimental work were performed to show the malfunctional behaviors. For this purpose, new recursive(RLSM) were adopted for the on-line system identification and monitoring of a machining process, we can apply these new algorithms in real process for detection of abnormal chatter. Also, the stability lobe of chatter was analysed by varying parameter of cutting dynamices in regenerative chatter mechanics.

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방위각을 이용한 신호원 위치 추정 알고리즘의 성능 비교 (Performance Comparison of LOB-based Emitter Localization Algorithms)

  • 이준호;김민철;조성우;진용기;이동근
    • 한국군사과학기술학회지
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    • 제12권4호
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    • pp.437-445
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    • 2009
  • In this paper, we present the performance of the LOB(line of bearing) - based emitter localization algorithm. The linear LSE(least-squared error) algorithm, nonlinear LSE algorithm and Stansfield algorithm are considered. In addition, we focus on the performance improvement of the weighted estimation compared with the unweighted estimation. Each estimation algorithm is briefly introduced, and the performance of the algorithm is illustrated using the numerical results.

ARMA 모델링과 스펙트럼분석법에 의한 가공시스템의 진단에 관한 연구 (A Study on Diagnostics of Machining System with ARMA Modeling and Spectrum Analysis)

  • 윤문철;조현덕;김성근
    • 한국생산제조학회지
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    • 제8권3호
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    • pp.42-51
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    • 1999
  • An experimental modeling of cutting and structural dynamics and the on-line detection of malfunction process is substantial not only for the investigation of the static and dynamic characteristics of cutting process but also for the analytic realization of diagnostic systems. In this regard, We have discussed on the comparative assessment of two recursive time series modeling algorithms that can represent the machining process and detect the abnormal machining behaviors in precision round shape machining such as turning, drilling and boring in mold and die making. In this study, simulation and experimental work were performed to show the malfunctioned behaviors. For this purpose, two new recursive approach (REIVM, RLSM) were adopted fur the on-line system identification and monitoring of a machining process, we can apply these new algorithm in real process for the detection of abnormal machining behaviors such as chipping, chatter, wear and round shape lobe waviness.

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ESPI 에서의 이상적인 위상도 추출과 필터링 방법 (Ideal Phase map Extraction Method and Filtering of Electronic Speckle Pattern Interferometry)

  • 유원재;이주성;강영준;채희창
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2001년도 춘계학술대회 논문집
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    • pp.235-238
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    • 2001
  • Deformation phase can be obtained by using Least-Square Fitting. In extraction of phase values, Least-Square Fitting is superior to usual method like as 2, 3, 4-Bucket Algorithm. That can extract almost noise-free phase and retain 2$\pi$discontinuities. But more fringe in phase map, 2$\pi$ discontinuities is destroyed when that is filtered and reconstruction of deformation is not reliable. So, we adapted Least-Square Fitting using an isotropic window in dense fringe. using Sine-Cosine filter give us perfect 2$\pi$discontinuities information. We showed the process and result of extraction of phase map and filtering in this paper.

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전자 스페클 간섭법에서의 이상적인 위상도 추출과 필터링 방법 (Ideal Phase map Extraction Method and Filtering of Electronic Speckle Pattern Interferometry)

  • 강영준;이주성;박낙규;권용기
    • 한국정밀공학회지
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    • 제19권12호
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    • pp.20-26
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    • 2002
  • Deformation phase can be obtained by using Least-Square fitting. In extraction of phase values, Least-Square Fitting is superior to usual method such as 2, 3, 4-Bucket Algorithm. That can extract almost noise-free phase and retain 2 $\pi$ discontinuities. But more fringes in phase map, 2 $\pi$ discontinuities are destroyed when that are filtered and reconstruction of deformation is not reliable. So, we adapted Least-Square fitting using an isotropic window in dense fringe. Using Sine/cosine filter give us perfect 2 $\pi$ discontinuities information. We showed the process and result of extraction of phase map and filtering in this paper.

데이터베이스 기반 유전 알고리즘을 이용한 효율적인 에어포일 형상 최적화에 대한 연구 (Study on the Airfoil Shape Design Optimization Using Database based Genetic Algorithms)

  • 권장혁;김진;김수환
    • Journal of Advanced Marine Engineering and Technology
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    • 제31권1호
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    • pp.58-66
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    • 2007
  • Genetic Algorithms (GA) have some difficulties in practical applications because of too many function evaluations. To overcome these limitations, an approximated modeling method such as Response Surface Modeling(RSM) is coupled to GAs. Original RSM method predicts linear or convex problems well but it is not good for highly nonlinear problems cause of the average effect of the least square method(LSM). So the locally approximated methods. so called as moving least squares method(MLSM) have been used to reduce the error of LSM. In this study, the efficient evolutionary GAs tightly coupled with RSM with MLSM are constructed and then a 2-dimensional inviscid airfoil shape optimization is performed to show its efficiency.

버블패킹기법을 이용한 무요소 갤러킨법에 관한 연구 (Study On The Element Free Galerkin Method Using Bubble Packing Technique)

  • 정순완;최유진;김승조
    • 대한기계학회논문집A
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    • 제24권10호
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    • pp.2469-2476
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    • 2000
  • The meshing of the domain has long been the major bottleneck in performing the finite element analysis. Research efforts which are so-called meshfree methods have recently been directed towards eliminating or at least easing the requirement for meshing of the domain. In this paper, a new meshfree method for solving nonlinear boundary value problem, based on the bubble packing technique and Delaunay triangle is proposed. The method can be efficiently implemented to the problems with singularity by using formly distributed nodes.

단계 분리형 최소 자승법을 이용한 탄도 미사일의 발사지점 예측 연구 (Launch Point Estimation for a Ballistic Missile using the Phase Division Least Square Method)

  • 김준기;이동관;조길석;송택렬
    • 제어로봇시스템학회논문지
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    • 제20권4호
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    • pp.414-421
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    • 2014
  • This paper presents a method of ballistic missile launch point estimation using phase division least squares. The proposed algorithm employs smoothing to enhance estimation accuracy and generates functions of time for total velocity, flight path angle and heading angle, allowing extrapolation to estimate the launch point. Performance of the proposed algorithm is tested in conjunction with the extended Kalman filter and the Kalman filter.