• Title, Summary, Keyword: target parameter

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Design of a Robust Target Tracker for Parameter Variations and Unknown Inputs

  • Kim, Eung-Tai;Andrisani, D. II
    • International Journal of Aeronautical and Space Sciences
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    • v.2 no.2
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    • pp.73-81
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    • 2001
  • This paper describes the procedure to develop a robust estimator design method for a target tracker that accounts for both structured real parameter uncertainties and unknown inputs. Two robust design approaches are combined: the Mini-p-Norm. design method to consider real parameter uncertainties and the $H_{\infty}$ design technique for unknown disturbances and unknown inputs. Constant estimator gains are computed that guarantee the robust performance of the estimator in the presence of parameter variations in the target model and unknown inputs to the target. The new estimator has two design parameters. One design parameter allows the trade off between small estimator error variance and low sensitivity to unknown parameter variations. Another design parameter allows the trade off between the robustness to real parameter variations and the robustness to unknown inputs. This robust estimator design method was applied to the longitudinal motion tracking problem of a T-38 aircraft.

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Tracking maneuvering target using robust H$\infty$filter (견실한 H$\infty$필터를 이용한 기동표적의 추적)

  • 김준영;유경상;권오규
    • 제어로봇시스템학회:학술대회논문집
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    • pp.426-429
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    • 1997
  • This paper proposes a robust H$_{\infty}$ tracking filter to improve the unacceptable target tracking performance for systems with parameter uncertainties. Also, we use here the input estimation approach to account for the possibility of maneuver. Simulation results show that the robust H$_{\infty}$ tracking filter which is proposed here to solve the systems with all system parameter uncertainties, has a good tracking performance for a maneuvering target tracking problem.m.

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Tracking a maneuvering target using robust $H_{\infty}$ FIR filter (견실한 $H_{\infty}$ FIR 필터를 이용한 기동표적의 추적)

  • 유경상;류희섭;권오규
    • 제어로봇시스템학회:학술대회논문집
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    • pp.759-762
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    • 1996
  • In previous work Kwon and Yoo [5] have shown that the FIR tracking algorithm using the input estimation technique. However, it has not solved the problem of systems with parameter uncertainties. Therefore, in this paper we propose a new robust $H_{\infty}$ FIR tracking filter to solve the target tracking problems under systems with parameter uncertainties. Also, we use here the input estimation approach to account for the possibility of maneuver. Simulation results show that the robust $H_{\infty}$ FIR tracking filter proposed here still has good tracking performance for a maneuvering target tracking problem even under all system parameter uncertainties.

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Maneuvering Target Tracking in Uncertain Parameter Systems Using RoubustH_\inftyFIR Filters (견실한$H_\infty$FIR 필터를 이용한 불확실성 기동표적의 추적)

  • Yoo, Kyung-Sang;Kim, Dae-Woo;Kwon, Oh-Kyu
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.48 no.3
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    • pp.270-277
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    • 1999
  • This paper deals with the maneuver detection and target tracking problem in uncertain parameter systems using a robust{{{{ { H}_{ } }}}} FIR filter to improve the unacceptable tracking performance due to the parametr uncertainty. The tracking filter used in the current paper is based on the robust{{{{ { H}_{ } }}}} FIR filter proposed by Kwon et al. [1,2] to estimate the state signal in uncertain systems with parameter uncertainty, and the basic scheme of the proposed method is the input estimation approach. Tracking performance of the maneuver detection and target tracking method proposed is compared with other techniques, Bogler allgorithm [4] and FIR tracking filter [2], via some simulations to examplify the good tracking performance of the proposed method over other techniques.

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In vitro evaluation of color and translucency reproduction of maxillofacial prostheses using a computerized system

  • Nemli, Secil Karakoca;Gungor, Merve Bankoglu;Bagkur, Meral;Bal, Bilge Turhan;Arici, Yeliz Kasko
    • The Journal of Advanced Prosthodontics
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    • v.10 no.6
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    • pp.422-429
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    • 2018
  • PURPOSE. Accurate color matching of maxillofacial prostheses to skin is important for esthetics. A computerized color matching system specific to human skin has recently been developed. The purpose of this study was to evaluate the accuracy in color and translucency matching of the computerized color matching system across different skin colors. MATERIALS AND METHODS. The silicone was colored to simulate 28 different skin colors (n=5) to serve as "target skin colors". Using a spectrocolorometer (e-skin), color codes were determined for "replicate skin color" fabrication. CIELAB Delta-E between target skin color-replicate skin color pairs and translucency parameter were calculated. CIELAB Delta-E values were compared with one-way ANOVA and Tukey multiple-comparison. The agreement between $L^*$, $a^*$, $b^*$ and translucency parameter of target skin colors and replicate skin color were calculated by a two-way mixed average measures intraclass correlation coefficient. Translucency parameter of target skin color- replicate skin color pairs were compared with Paired t-test (${\alpha}=.05$). RESULTS. The mean CIELAB Delta-E value was 3.83 and significant differences were found among colors. The intraclass correlation coefficient showed excellent reliability for $L^*$, $a^*$, $b^*$ and good reliability for translucency parameter (P<.001). The mean translucency parameter of replicate skin colors was significantly higher than that of translucency parameter. CONCLUSION. The computerized color matching system specific to human skin was found to be reliable in terms of color and translucency between target skin colors and replicate skin color.

Modeling and Parameter Optimization of Agile Beam Radar Tracking in Cluttered Environments

  • Hong, Sun-Mog;Jung, Young-Hun
    • 제어로봇시스템학회:학술대회논문집
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    • pp.99.6-99
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    • 2001
  • The parameter optimization for agile beam radar tracking is addressed to minimize the radar resources that are required to maintain a target under track. The parameters to be optimized include the track-revisit interval and the sequence of pairs of target signal strengths and detection thresholds associated with repeated illumination attempts in each track-revisit. The optimization problem is solved numerically for typical examples.

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Weighted Parameter Analysis of L1 Minimization for Occlusion Problem in Visual Tracking (영상 추적의 Occlusion 문제 해결을 위한 L1 Minimization의 Weighted Parameter 분석)

  • Wibowo, Suryo Adhi;Jang, Eunseok;Lee, Hansoo;Kim, Sungshin
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • pp.101-103
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    • 2016
  • Recently, the target object can be represented as sparse coefficient vector in visual tracking. Due to this reason, exploitation of the compressibility in the transform domain by using L1 minimization is needed. Further, L1 minimization is proposed to handle the occlusion problem in visual tracking, since tracking failures mostly are caused by occlusion. Furthermore, there is a weighted parameter in L1 minimization that influences the result of this minimization. In this paper, this parameter is analyzed for occlusion problem in visual tracking. Several coefficients that derived from median value of the target object, mean value of the arget object, the standard deviation of the target object are, 0, 0.1, and 0.01 are used as weighted parameter of L1 minimization. Based on the experimental results, the value which is equal to 0.1 is suggested as weighted parameter of L1 minimization, due to achieved the best result of success rate and precision performance parameter. Both of these performance parameters are based on one pass evaluation (OPE).

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Investigation of TSP as a feature Parameter for the Scaled Target (축소모형 표적신호의 특징 파라미터로서 TSP에 관한 연구)

  • Ju Jae Hun;Kim Jae Su
    • Proceedings of the Acoustical Society of Korea Conference
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    • pp.236-239
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    • 1999
  • Target signal feature parameters are very important to classify target by active sonar. Two highly correlated broadband pulses separated by time T have a time separation pitch (TSP) of 1/THz, equal to the spacing between ripples of its spectrum. In this study, TSP is applied to scaled-target echoes to be used as a feature parameter. The TSP from the target sign리 when source signals are CW short, CW long, and LFM long was investigated. It is also found the TSP can be applied to the target signal with doppler shift. It is shown that the position and magnitude of highlight can be found for LSEM based on TSP.

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A Continuous Network Design Model for Target-Oriented Transport Mode Choice Problem (목표지향 교통수단선택을 위한 연속형 교통망설계모형)

  • Im, Yong-Taek
    • Journal of Korean Society of Transportation
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    • v.27 no.6
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    • pp.157-166
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    • 2009
  • A network design problem (NDP) is to find a design parameter to optimize the performance of transportation system. This paper presents a modified NDP, called target-oriented NDP, which contains a target that we try to arrive in real world, and also proposes a solution algorithm. Unlike general NDP which seeks an optimal value to minimize or to maximize objective function of the system, in target-oriented NDP traffic manager or operator can set a target level prior and then try to find an optimal design variable to attain this goal. A simple example for mode choice problem is given to test the model.

Linear Robust Target Tracking Filter Using the Range Differences Measured By Formation Flying Multiple UAVs (다중 UAV에서 측정된 거리차 정보를 이용한 선형 강인 표적추적 필터 설계)

  • Lee, Hye-Kyung;Han, Seul-Ki;Ra, Won-Sang
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.61 no.2
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    • pp.284-290
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    • 2012
  • This paper addresses a new passive target tracking problem using the range differences measured by cooperative UAVs. In order to solve the range difference based passive target tracking problem within the framework of linear robust state estimation, the uncertain linear measurement model which contains the stochastic parameter uncertainty is derived by using the noisy range difference measurements. To cope with the performance degradation due to the stochastic parameter uncertainty, the recently developed non-conservative robust Kalman filtering technique [1] is applied. For the cruciform formation flying UAVs, the relationship between the target tracking performance and the measurement errors is quantitatively analyzed. The proposed filter has practical advantages over the classical nonlinear filters because, for its recursive linear structure, it can provide satisfactory convergence properties and is suitable for real-time multiple UAVs applications. Through the simulations, the usefulness of the proposed method is demonstrated.