• Title/Summary/Keyword: Order Tracking

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The Design of the Stabilized Algorithm for Shipboard Satellite Antenna Systems using Genetic Algorithm (유전 알고리즘을 적용한 선박용 위성 안테나의 안정화 알고리즘의 설계)

  • 고운용;황승욱;진강규
    • Journal of the Korean Institute of Navigation
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    • v.25 no.4
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    • pp.361-369
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    • 2001
  • This thesis describes the design of a stabilized algorithm for shipboard satellite antenna systems which can enhance the tracking performance. In order to overcome some drawbacks of the conventional step tracking algorithm, the proposed algorithm searches for the best tracking angles using gradient-based formulae and signal intensities measured according to a search pattern. The effectiveness of the proposed algorithm is demonstrated through simulation using real-world data.

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An Analytical and Experimental Wheel Tracking Study on Dynamic Interaction of Vehicle (차량의 동적 상호작용에 관한 이론연구 및 윤하중 실험)

  • Kim, Nak-Suk;Pak, Suk-Soon
    • Journal of the Society of Disaster Information
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    • v.2 no.1
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    • pp.39-52
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    • 2006
  • In this paper, an analytical and experimental study was performed in order to determine the effects of interaction between vehicle and structure. Results presented in the paper show that analytical method including moving load effect can investigate the trend of structural response due to dynamic interaction between vehicle and structure. The wheel tracking machine fitted with 2-axle test vehicle can demonstrate more accurate dynamic interaction between vehicle and structure than the wheel tracking machine fitted without 2-axle test vehicle.

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Robust integral tracking control of Magnetic Levitating System via feedback linearization

  • Wonkee Son;Kim, Yongjun;Park, Jinyoung
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.48.2-48
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    • 2001
  • This paper deals with robust integral tracking control problem based on Lyapunov method via FL(Feedback Linearization) in order to solve a reference tracking problem of nonlinear system with parameter uncertainties. To overcome a restrictive matching condition the uncertainties is characterized in a suitable form. The design procedure which combine FL and LMIs(Linear Matrix Inequalities) based on Lyapunov method to achieve the robust performance and stability is developed. Finally, the performance of proposed controller is demonstrated via simulation of a linear reference tracking problem in the MLS(Magnetic levitating System).

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The variations of tracking resistance of outdoor Epoxy composites due to complex degradation (복합열화로 인한 옥외용 에폭시수지의 내트래킹성 변화)

  • Kim, T.Y.;Kim, K.M.;Lee, D.J.;Son, I.H.;Ka, C.H.;Kim, J.H.
    • Proceedings of the KIEE Conference
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    • 1999.07d
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    • pp.1614-1616
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    • 1999
  • Epoxy resin has been used as matrix resin of advanced composites owing to ideally suitable properties and inherent physical and chemical properties for electrical and electronic insulation. In this paper, in order to evaluate the performance of epoxy composites for out door insulation, variations of tracking resistance were investigated on the complex ageing parameter. Also, IPN methods were introduced in order to improve performance for out door use. As a result, it was confirmed that tracking resistance were degraded with complex ageing parameters. But, it was confirmed that specimen of IPN structure have the better tracking resistance properties than SIN structure by moisture absorption aging.

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Development and Control of a Roadway Seam Tracking Mobile Robot

  • Cho, Hyun-Taek;Jeon, Poong-Woo;Jung, Seul
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.2502-2507
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    • 2003
  • In this paper, a crack sealing robot is developed. The crack sealing robot is built to detect, track, and seal the crack on the pavement. The sealing robot is required to brush all dirt in the crack out for preparing a better sealing job. Camera calibration has been done to get accurate crack position. In order to perform a cleaning job, the explicit force control method is used to regulate a specified desired force in order to maintain constant contact with the ground. Experimental studies of force tracking control are conducted under unknown environment stiffness and location. Crack tracking control is performed. Force tracking results are excellent and the robot finds and tracks the crack very well.

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Robust Tracking Control of Robotic Manipulators Using Fuzzy-Sliding Modes (퍼지-슬라이딩모드를 이용한 로봇의 강건추적제어)

  • 김정식;최승복
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.18 no.8
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    • pp.2088-2100
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    • 1994
  • Considerable attention has been given to controller designs that utilize the variable structure system theory in order to achieve robust tracking performance of robotic manipulators subjected to parameter variations and extraneous disturbances. However, the theory has not had wide spread acceptance in practical control engineering community due mainly to the worry of chattering which is inherently ever-existing in the variable structure system. This paper presents a novel type of fuzzy-sliding mode controller to alleviate the chattering problem. A sliding mode controller for robust robot control is firstly synthesized with an assumption that the imposed system uncertainties satisfy matching conditions so that certain deterministic performances can parameters and control rules are obtained from a relation between predetermined sliding surfaces and representative points in the error state space. A two degree-of-freedom robotic manipulator subjected to a variable payload and a torque disturbance is considered in order to demonstrate superior tracking performance accrued from the proposed methodology.

Neural-Network-based Consensus Tracking of Second-Order Multi-Agent Systems With Unknown Heterogeneous Nonlinearities (미지의 이종 비선형성을 갖는 2차 비선형 다개체 시스템의 신경 회로망 기반 일치 추종)

  • Choi, Yun Ho;Yoo, Sung Jin
    • Journal of Institute of Control, Robotics and Systems
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    • v.22 no.6
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    • pp.477-482
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    • 2016
  • This paper presents a simple approximation-based design approach for consensus tracking of heterogeneous second-order nonlinear systems under a directed network. All nonlinearities of followers are assumed to be unknown and non-identical. In the controller design procedure, graph-independent error surfaces are used and an unimplementable intermediate controller for each follower is designed at the first design step. Then, by adding and subtracting a graph-based term at the second step, the actual controller for each follower is designed by using one neural network employed to estimate a lumped and distributed nonlinearity. Therefore, the proposed local controller for each follower has a simpler structure than existing approximation-based consensus tracking controllers for multi-agent systems with unmatched nonlinearities.

A Study on the variations of tracking resistance of outdoor Epoxy composites due to moisture absorption aging (흡습열화에 따른 옥외용 에폭시 복합체의 내트래킹성 변화에 관한 연구)

  • 김탁용;이덕진;가출현;김명호;박창옥;김재환
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 1999.05a
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    • pp.526-528
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    • 1999
  • Epoxy resin has been used as matrix resin of advanced composites owing to ideally suitable properties and inherent physical and chemical properties for electrical and electronic insulation In this paper, in order to evaluate the performance of epoxy composites for out door insulation, variations of tracking resistance were investigated on the moisture absorption aging condition. Also, IPN methods were introduced in order to improve performance for out door use. As a result, it was confirmed that tracking resistance were degraded with boilling time. But, it was confirmed that specimen of IPN structure and KC-335 have the better tracking resistance properties than SIN structure by moisture absorption aging

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A New Approach for Multiple Object Tracking ? Discrete Event based Multiple Object Tracking (DEMOT)

  • Kim, Chi-Ho;You, Bum-Jae;Kim, Hag-Bae;Oh, Sang-Rok
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.1134-1139
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    • 2003
  • Tracking is a fundamental technique which is able to be applied to gesture recognition, visual surveillance, tangible agent and so forth. Especially, multiple object tracking has been extensively studied in recent years in order to perform many and more complicated tasks. In this paper, we propose a new approach of multiple object tracking which is based on discrete event. We call this system the DEMOT (Discrete Event based Multiple Object Tracking). This approach is based on the fact that a multiple object tracking can have just four situations - initiation, continuation, termination, and overlapping. Here, initiation, continuation, termination, and overlapping constitute a primary event set and this is based on the change of the number of extracted objects between a previous frame and a current frame. This system reduces computational costs and holds down the identity of all targets. We make experiments for this system with respect to the number of targets, each event, and processing period. We describe experimental results that show the successful multiple object tracking by using our approach.

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Specified Object Tracking Problem in an Environment of Multiple Moving Objects

  • Park, Seung-Min;Park, Jun-Heong;Kim, Hyung-Bok;Sim, Kwee-Bo
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.11 no.2
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    • pp.118-123
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    • 2011
  • Video based object tracking normally deals with non-stationary image streams that change over time. Robust and real time moving object tracking is considered to be a problematic issue in computer vision. Multiple object tracking has many practical applications in scene analysis for automated surveillance. In this paper, we introduce a specified object tracking based particle filter used in an environment of multiple moving objects. A differential image region based tracking method for the detection of multiple moving objects is used. In order to ensure accurate object detection in an unconstrained environment, a background image update method is used. In addition, there exist problems in tracking a particular object through a video sequence, which cannot rely only on image processing techniques. For this, a probabilistic framework is used. Our proposed particle filter has been proved to be robust in dealing with nonlinear and non-Gaussian problems. The particle filter provides a robust object tracking framework under ambiguity conditions and greatly improves the estimation accuracy for complicated tracking problems.