• 제목/요약/키워드: inverse system

검색결과 1,407건 처리시간 0.033초

적응 선형 증진기를 이용한 인버스 모델링의 성능향상 (Performance Improvement of the Inverse Modeling using Adaptive Line Enhancer)

  • 김흥섭;홍진석;손동구;신준;오재응
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1996년도 추계학술대회 논문집
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    • pp.267-271
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    • 1996
  • In this study, performance improvement of the inverse modeling as the on-line control method for the estimation, control experiment is performed. As the modeling errors is occurred in duct system arbitrarily, a case using the filtered-x LMS algorithm only as the control method, a case using tile inverse modeling method only and a case using the inverse modeling with the adaptive line enhancer are compared. The estimation errors between real secondary path transfer functions and the estimated and the control performances of primary noises with these estimated transfer functions are compared.

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속도변환기법을 이용한 기계시스템의 역동학적 해석 (Inverse Dynamic Analysis of Mechanical Systems Using the Velocity Transformation Technique)

  • 이병훈;양진생;전우성
    • 대한기계학회논문집A
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    • 제20권12호
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    • pp.3741-3747
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    • 1996
  • This paper presents a method for the inverse dynamic anlaysis of mechanical systems. Actuating forces(or torques) depending on the driving constraints are analyzed in the relative coordinate space using the velocity transformation technique. A systematic method to compose the inverse velocity transformation matrix, which is used to determine the joint reaction forces, is proposed. Two examples are taken to verify the method developed here.

An inverse LQG/LTR problem applied to the vehicle steering system

  • Park, Yong-Woon;Kim, Dae-Hyun;Scott, Kimbrough
    • 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.324-327
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    • 1996
  • This paper describes the robust controller design methods applied to the problem of an automatic system for tow-vehicle/trailer combinations. This study followed an inverse Linear Quadratic Regulator(LQR) approach which combines pole assignment methods with conventional LOR methods. It overcomes two concerns associated with these separate methods. It overcomes the robustness problems associated with pole placement methods and trial and error required in the application of the LQR problem. Moreover, a Kalman filter is used as the observer, but is modified by using the loop transfer recovery (LTR) technique with modified transmission zero assignment. The proposed inverse LQG,/LTR controllers enhances the forward motion stability and maneuverability of the combination vehicles. At high speeds, where the inherent yaw damping of the vehicle system decreases, the controller operates to maintain an adequate level of yaw damping. At backward moton, both 4WS (2WS tow-vehicle, 2WS trailer) and 6WS (4WS tow-vehicle, 2WS trailer) control laws are proposed by using inverse LQG/LTR method. To evaluate the stability and robustness of the proposed controllers, simulations for both forward and backward motion were conducted using a detailed nonlinear model. The proposed controllers are significantly more robust than the previous controllers and continues to operate effectively in spite of parameter perturbations that would cause previous controllers to enters limit cycles or to loose stability.

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역운동학을 이용한 실시간 동작 복원 시스템 구현 (An Implementation of Real-time Motion Restoration System based on Inverse Kinematics)

  • 이란희;이칠우
    • 한국멀티미디어학회논문지
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    • 제17권6호
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    • pp.741-750
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    • 2014
  • This paper presents a real-time motion restoration system for people who need remedial exercise of musculoskeletal based on Inverse Kinematics. A new approach is suggested to recognize a gesture based on restored human motion which is calculated the 3D positions of intermediate joints using 3D positions of body features estimated from images. For generating the 3D candidate positions of intermediate joints which cannot be extracted from images, we apply an Inverse Kinematics theory to compute the target position of intermediate joints. And we can reduce the number of candidate positions by applying the various physical constraints of body. Finally, we can generate the more accurate final position using the Kalman filter for a motion tracking and the relationship between the previous frame information and the candidate positions. The system provide motion information which are rotation angle and height in real-time, therefore the rehabilitation exercises can be performed based on the information and figured out proper exercise for individual status.

의미 사전과 반전 의견 처리를 이용한 한국어 의견 분석 시스템 개발 (Development of Korean Opinion Analysis System using Semantic Dictionary and Inverse Opinion Processing)

  • 장재건;박진수;류승택
    • 한국산학기술학회논문지
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    • 제11권8호
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    • pp.3070-3075
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    • 2010
  • 웹 2.0 시대를 맞아 인터넷 상의 블로그 및 커뮤니티 공간에 일반 사용자들이 자신의 의견 및 생각을 표현하게 되었다. 상품 구매 시 다수의 사람들이 이러한 의견을 참조하는데, 사용자들은 소수의 의견만을 참조하고 전체적인 의견은 참조하지 못하고 있다. 의견 분석 시스템은 상품 및 서비스에 대한 인터넷 상의 글들을 분석하여 상품의 긍정, 부정을 평가하는 시스템으로 자연어 검색에서 발전한 검색이라 할 수 있다. 본 논문에서는 의견 분석 서비스에서 핵심이 되는 문장의 긍정, 부정을 파악하기 위하여 '긍정', '부정', '중립'의 극성 정보 외에 '반전'의 정보를 추가로 학습하고, 처리하는 구문 분석 및 반전 처리를 제안한다.

Inverse Lemma를 이용한 상태추정 알고리즘의 개선에 관한 연구 (A Study on State Estimation Algorithm in Power System Using Inverse Lemma)

  • 문영현;박정도;박인권
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1996년도 추계학술대회 논문집 학회본부
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    • pp.182-185
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    • 1996
  • The purpose of slate estimation in power system is to estimate the best-fit Slate variables from the measurements contaminated by various kind of noise. But because the majority of state estimation modules in EMS lack the convergence characteristics, sometimes the desirable outputs can't be obtained. So, in this paper, the new algorithm using the load now output as initial values in the state estimation calculation is proposed to guarantee the convergence. And if the load now outputs were used as the initial values in the calculation, the change in each step would be small compared to the original method using the flat start point. And the Inverse Lemma is used in the algorithm to calculate the new stale in each iteration step for reducing the calculation time. The proposed algorithm was tested on the IEEE 14, 30, 118 bus systems. Eventually, we were able to verity that the differences between the results obtained by the original method and proposed method were relatively small, and the effectiveness of the proposed algorithm increased when applied to the bigger systems.

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냉동 오징어 수요의 수입대체관계 비교 분석 -로테르담모형과 준이상수요체계를 중심으로- (Comparative Analysis of Import Substitution Relations of Frozen Squid Demand -Focused on The Rotterdam Model and The Almost Ideal Demand System-)

  • 우경원;신용민
    • 수산경영론집
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    • 제53권1호
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    • pp.55-72
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    • 2022
  • The domestic catch of squid is decreasing every year. Import volume is increasing to replace these domestic products. Import volume is expected to increase in the future, so it is necessary to study import substitution. Therefore, in this study, after selecting frozen squid, which accounts for the majority of imported squid, as the target fish species, China, Chile and Peru, which account for the majority of frozen squid imports, will be selected as the target countries for analysis. Then, the demand function of squid is estimated using the Rotterdam model, the inverse Rotterdam model, AIDS and inverse AIDS, which are the simultaneous equation demand types, and then elasticity is derived. After that, these models are compared in terms of significance, theoretical fit and practical fit.

역동력학과 퍼지기법을 이용한 DC 모터용 2자유도 제어기 (A Two-Degree-of-Freedom-Controller for DC Motors Using Inverse Dynamics and the Fuzzy Technique)

  • 김병만;김종화;유영호;진강규
    • 한국지능시스템학회논문지
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    • 제12권1호
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    • pp.33-38
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    • 2002
  • 본 논문에서는 역동력학과 퍼지기법을 기반으로 하는 DC 모터 속도제어용 2자유도 제어기를 설계한다. 제안된 제어기는 DC 모터 시스템의 역동력학 모델, 전처리필터와 퍼지보상기로 구성된다. 모델은 쿨롱마찰을 내포하는 비선형 방정식으로 표시되며, 전처리필터는 역동력학 모델에 의해 유발될 수 있는 고주파 영향을 막아주며, 퍼지보상기는 모델의 불확실성, 외란 등으로 인한 오차를 보상한다. 퍼지보상기는 기준 입력 변화에 대한 추종성능과 외란에 대한 오차 제거성능을 동시에 개선하도록 설계된다. 모델과 보상기의 파라미터는 각각 실수코딩 유전알고리즘으로 추정되고 동조된다. 제안된 기법의 유효성은 실험을 통해 검증된다.

Squint Free Phased Array Antenna System using Artificial Neural Networks

  • Kim, Young-Ki;Jeon, Do-Hong;Thursby, Michael
    • 컴퓨터교육학회논문지
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    • 제6권3호
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    • pp.47-56
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    • 2003
  • We describe a new method for removing non-linear phased array antenna aberration called "squint" problem. To develop a compensation scheme. theoretical antenna and artificial neural networks were used. The purpose of using the artificial neural networks is to develop an antenna system model that represents the steering function of an actual array. The artificial neural networks are also used to implement an inverse model which when concatenated with the antenna or antenna model will correct the "squint" problem. Combining the actual steering function and the inverse model contained in the artificial neural network, alters the steering command to the antenna so that the antenna will point to the desired position instead of squinting. The use of an artificial neural network provides a method of producing a non-linear system that can correct antenna performance. This paper demonstrates the feasibility of generating an inverse steering algorithm with artificial neural networks.

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전력계통 해석에 유용한 "스파스"행렬법에 관한 연구 (A Study on the Sparse Matrix Method Useful to the Solution of a Large Power System)

  • 한만춘;신명철
    • 전기의세계
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    • 제23권3호
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    • pp.43-52
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    • 1974
  • The matrix inversion is very inefficient for computing direct solutions of the large spare systems of linear equations that arise in many network problems as a large electrical power system. Optimally ordered triangular factorization of sparse matrices is more efficient and offers the other important computational advantages in some applications with this method. The direct solutions are computed from sparse matrix factors instead of a full inverse matrix, thereby gaining a significant advantage is speed and computer memory requirements. In this paper, it is shown that the sparse matrix method is superior to the inverse matrix method to solve the linear equations of large sparse networks. In addition, it is shown that the sparse matrix method is superior to the inverse matrix method to solve the linear equations of large sparse networks. In addition, it is shown that the solutions may be applied directly to sove the load flow in an electrical power system. The result of this study should lead to many aplications including short circuit, transient stability, network reduction, reactive optimization and others.

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