• 제목/요약/키워드: unknown disturbance

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상악골에 생긴 섬유성이형성증의 치료 경험: 안면윤곽술, 부분적 상악골 절제술과 상악동 형성 (Clinical Experience of Maxillary Fibrous Dysplasia: Shaving, Partial Maxillectomy & Maxillary Sinus Formation)

  • 이윤호;주춘승
    • Archives of Plastic Surgery
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    • 제33권2호
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    • pp.259-262
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    • 2006
  • Fibrous dysplasia(FD) of the bone is a slowly progressive, benign disease of unknown cause where normal architectures are replaced with fibrous and osteoid tissue. FD of the maxilla usually manifests as a bony enlargement with painless swelling and bone deformity, contouring to facial asymmetry. The lesion may involve the nasal fossae, orbits, or alveolus bone, causing diverse functional disturbance. Treatment options range from shaving to total maxillectomy and reconstruction depending on the presenting symptoms. Shaving, partial maxillectomy and maxillary sinus formation was performed in 5 patients with fibrous dysplasia in the past 2 years. Follow up period ranged from 1 month to 11 months. Aesthetic appearance, CT findings, and relief from symptoms were compared. In all patients, facial asymmetry was restored to symmetry and nasal obstructive symptoms were improved. With this procedure, expansion of the lesion will be controlled until puberty, preventing the development of new functional disturbances. After puberty, no further treatment can be anticipated due to the growth arrest inherent to the disease.

퍼지-신경망 제어기를 이용한 2지역 계통의 부하주파수제어에 관한연구 (A Study on the Load Frequency Control of 2-Area Power System using Fuzzy-Neural Network Controller)

  • 정형환;김상효;주석민;이정필;이동철
    • 대한전기학회논문지:전력기술부문A
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    • 제48권2호
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    • pp.97-106
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    • 1999
  • This paper proposes the structure and the algorithm of the Fuzzy-Neural Controller(FNNC) which is able to adapt itself to unknown plant and the change of circumstances at the Fuzzy Logic Controller(FLC) with the Neural Network. This Learning Fuzzy Logic Controller is made up of Fuzzy Logic controller in charge of a main role and Neural Network of an adaptation in variable circumstances. This construct optimal fuzzy controller applied to the 2-area load frequency control of power system, and then it would examine fitness about parameter variation of plant or variation of circumstances. And it proposes the optimal Scale factor method wsint three preformance functions( E, , U) of system dynamics of load frequency control with error back-propagation learning algorithm. Applying the controller to the model of load frequency control, it is shown that the FNNC method has better rapidity for load disturbance, reduces load frequency maximum deviation and tie line power flow deviation and minimizes reaching and settling time compared to the Optimal Fuzzy Logic Controller(OFLC) and the Optimal Control for optimzation of performance index in past control techniques.

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구강내 장치를 이용한 수면 무호흡 환자의 치료 증례 (A Case Report on Treatment of Obstructive Sleep Apnea Patient Using Intraoral Removable Appliance)

  • 강국진;오강섭;이시형
    • 수면정신생리
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    • 제5권2호
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    • pp.210-215
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    • 1998
  • OSA(Obstructive Sleep Apnea) is a condition with repeated obstruction of the upper airway while sleeping. This obstruction of the upper airway may result if sleep-induced physiologic change in muscle activity is superimposed on various structural defects of the upper airway. Macroglossia, micrognathia, retrognathia, and decreased airway lumen have all been implicated in OSA. There are a variety of surgical and nonsurgical treatment modalities currently available for OSA. Recently the uvulopalatopharyngoplasty has achieved widespread use, but success rates vary and long-term effects are still unknown. Current nonsurgical treatment methods can be cumbersome and uncomfortable with variable responses. For this case. we diagnosed as OSA by using polysomnographic analysis and cephalometric analysis, and delivered intraoral removable appliance which is more conservative, reversible and easy to use for patient. And we got results that Apnea Index(AI) decreased from 14.4 to 3.1, Total Respiratory Disturbance Index(Total RDI) decreased from 18.1 to 7.0 and removal of chronic headache in daytime.

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The Solar-Type Contact Binary BX Pegasi Revisited

  • Lee, Jae-Woo;Kim, Seung-Lee;Lee, Chung-Uk;Youn, Jae-Hyuck
    • 한국우주과학회:학술대회논문집(한국우주과학회보)
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    • 한국우주과학회 2009년도 한국우주과학회보 제18권2호
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    • pp.24.2-24.2
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    • 2009
  • We present the results of new CCD photometry for the contact binary BX Peg, made during three successive months beginning on September 2008. As do historical light curves, our observations display an O'Connell effect and the November data by themselves indicate clear evidence for very short-time brightness disturbance. For these variations, model spots are applied separately to the two data set of Group I (Sep.--Oct.) and Group II (Nov.). The former is described by a single cool spot on the secondary photosphere and the latter by a two-spot model with a cool spot on the cool star and a hot one on either star. These are generalized manifestations of the magnetic activity of the binary system. Twenty light-curve timings calculated from Wilson-Devinney code were used for a period study, together with all other minimum epochs. The complex period changes of BX Peg can be sorted into a secular period decrease caused dominantly by angular momentum loss due to magnetic stellar wind braking, a light-travel-time (LTT) effect due to the gravitational effect of a low-mass third companion, and a previously unknown short-term oscillation. This last period modulation could be produced either by a second LTT orbit with a period of about 16 yr due to the existence of a fourth body or by the effect of magnetic activity with a cycle length of about 12 yr.

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강인한 출력궤환 가변구조제어계의 설계 (Design of Robust Output Feedback Variable Structure Control System)

  • 이기상;임재형
    • 대한전기학회논문지
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    • 제43권3호
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    • pp.458-467
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    • 1994
  • It has been well known that the assumption of full state availability is one of the most important restrictions to the practical realization of VSCS. And several attempts to alleviate the assumption had been made. however, it is not easy to find a positive scheme among them. Recently, an output feedback variable structure control system(OFVSCS) was proposed and the effectiveness of the scheme was validated for the disturbance free systems. The purpose of this study is to propose a robust OFVSCS that have the robust properties against process parameter variations and external disturbances by extending the basic OFVSCS and to evaluate its control performances. The ROFVSES is composed of dynamic switching function and output feedback switching control inputs that are constructed by the use of the unknown vector modeling technique. With the proposed schems, existence of sliding mode is guaranteed and any nonzero bias can be suppressed in the face of disturbances and process parameter variations as far as well-known matching condition is satisfied. Due to the fact that the ROFVSCS is driven by small number of measured informations, the practical application of VSCS for the systems with unmeasurable states and for high order systems, the conventional schemes cannot be applied, is possible with the proposed scheme. It is noticeable that the implementation cast of VSCS can be considerably reduced without sacrifice of control performances by adopting ROFVSCS since there is no need to measure the states with high measurement cost.

Well-Conditioned 관측기 설계 - A Linear Matrix Inequality Approach - (Design of the Well-Conditioned Observer - A Linear Matrix Inequality Approach -)

  • 정종철;허건수
    • 대한기계학회논문집A
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    • 제28권5호
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    • pp.503-510
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    • 2004
  • In this paper, the well-conditioned observer for a stochastic system is designed so that the observer is less sensitive to the ill-conditioning factors in transient and steady-state observer performance. These factors include not only deterministic uncertainties such as unknown initial estimation error, round-off error, modeling error and sensing bias, but also stochastic uncertainties such as disturbance and sensor noise. In deterministic perspectives, a small value in the L$_{2}$ norm condition number of the observer eigenvector matrix guarantees robust estimation performance to the deterministic uncertainties. In stochastic viewpoints, the estimation variance represents the robustness to the stochastic uncertainties and its upper bound can be minimized by reducing the observer gain and increasing the decay rate. Both deterministic and stochastic issues are considered as a weighted sum with a LMI (Linear Matrix Inequality) formulation. The gain in the well-conditioned observer is optimally chosen by the optimization technique. Simulation examples are given to evaluate the estimation performance of the proposed observer.

외란에 둔감한 브러쉬없는 직류전동기(BLDC Motor)의 디지털 위치제어 (Robust Digital Position Control of Brushless DC Motor)

  • 고종선;조관열;윤명중
    • 대한전기학회논문지
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    • 제39권1호
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    • pp.36-48
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    • 1990
  • 브러쉬없는 직류전동기의 위치제어시 새로운 제어방법을 제시하였다. 일반적으로 브러쉬없는 직류전동기의 모델식은 비선형특성을 갖는다. 이 비선형특성을 벡터제어에 근거한 filed orientation방법으로 선형화시켰고, 선형화된 시스템에 새로운 상태변수를 첨가한 상태변수 궤환(augmented state variable feedback)방법이 적용될 수 있음을 보였다. 또한 부하외란을 미지의 입력으로 본 0-관측기(0-observer)로 부터 관측하고 여기서 얻은값을 이용하여 응답이 빠른 feedforward로 보상하였다. 이로써 전체시스템의 응답특성을 변화시키지 않고도 외란에 안정한(robust)특성이 얻어짐을 보였다. 전체 시스템은 마이크로 프로세어 MC68000을 이용한 디지탈 제어기로 구현하였고, 각 제어 알고리즘에 대한 시뮬레이션 및 실험결과로 제안된 제어알고리즘의 효과를 보였다.

Detection of Voltage Sag using An Adaptive Extended Kalman Filter Based on Maximum Likelihood

  • Xi, Yanhui;Li, Zewen;Zeng, Xiangjun;Tang, Xin
    • Journal of Electrical Engineering and Technology
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    • 제12권3호
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    • pp.1016-1026
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    • 2017
  • An adaptive extended Kalman filter based on the maximum likelihood (EKF-ML) is proposed for detecting voltage sag in this paper. Considering that the choice of the process and measurement error covariance matrices affects seriously the performance of the extended Kalman filter (EKF), the EKF-ML method uses the maximum likelihood method to adaptively optimize the error covariance matrices and the initial conditions. This can ensure that the EKF has better accuracy and faster convergence for estimating the voltage amplitude (states). Moreover, without more complexity, the EKF-ML algorithm is almost as simple as the conventional EKF, but it has better anti-disturbance performance and more accuracy in detection of the voltage sag. More importantly, the EKF-ML algorithm is capable of accurately estimating the noise parameters and is robust against various noise levels. Simulation results show that the proposed method performs with a fast dynamic and tracking response, when voltage signals contain harmonics or a pulse and are jointly embedded in an unknown measurement noise.

기준모델 추종 퍼지 제어기의 파라메터 자동 동조 (The Parameter Auto-tuning of the Reference Model Following Fuzzy Logic Controller)

  • 노청민;서승헌;고봉운;남문헌
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1996년도 하계학술대회 논문집 B
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    • pp.1377-1379
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    • 1996
  • In this paper, each parameter was identified by the gradient descent method to overcome difficulty deciding fuzzy rules of FLC for the unknown process and the type of membership Junctions. Usually PID or optimal control theories have been mostly usee in control field so far. However, optimal control requires much time for calculation because of adaptation for disturbance and nonlinearity. And intricate technique such as MRAS which can be realized only by an expert are limited to be used in the systems requiring rapid and precise response because of comparatively longer calculating time and complicateness. Gradient descent method is a method to find Z minimizing a function about a certain vector Z. And required output of FLC is gained using gradient approaching method in order to adapt control rule parameters of FLC. Simulation proved validation of this algorithm.

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NONLINEAR MODEL-BASED CONTROL OF VANE TYPE CONTINUOUS VARIABLE VALVE TIMING SYSTEM

  • Son, M.;Lee, M.;Lee, K.;SunWoo, M.;Lee, S.;Lee, C.;Kim, W.
    • International Journal of Automotive Technology
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    • 제8권5호
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    • pp.555-562
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    • 2007
  • The Variable Valve Timing(VVT) system for high performance is a key technology used in newly developed engines. The system realizes higher torque, better fuel economy, and lower emissions by allowing an additional degree of freedom in valve timing during engine operation. In this study, a model-based control method is proposed to enable a fast and precise VVT control system that is robust with respect to manufacturing tolerances and aging. The VVT system is modeled by a third-order nonlinear state equation intended to account for nonlinearities of the system. Based on the model, a controller is designed for position control of the VVT system. The sliding mode theory is applied to controller design to overcome model uncertainties and unknown disturbances. The experimental results suggest that the proposed sliding mode controller is capable of improving tracking performance. In addition, the sliding mode controller is robust to battery voltage disturbance.