• 제목/요약/키워드: Feedback Method

검색결과 2,871건 처리시간 0.03초

RF 중계기의 다중 궤환 간섭 신호 제거를 위한 채널 추정 방식 (A Channel Estimation Method for Multipath Feedback Interference Signal Cancellation of RF Repeaters)

  • 이상대;박진;성원진
    • 한국통신학회논문지
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    • 제33권2A호
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    • pp.98-106
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    • 2008
  • 셀룰러 시스템에서의 음영지역 해소 및 전송 용량 증대를 위해 중계기의 역할은 계속적으로 증가하고 있다. 별도의 유선 연결이 요구되는 광 중계기와는 달리, RF 중계기는 설치가 용이하고 위치 제약이 적으며, 비용 측면에서도 광선로 유지 비용 등의 운영 비용이 절감되는 장점을 가지고 있다. 반면 RF 중계기는 송수신 안테나 간 궤환 신호에 의한 간섭이 발생하며, 차폐막으로 감소시키는 간섭 신호 크기가 충분하지 않을 경우 별도의 간섭 제거 방안이 필요하다. 본 논문에서는 두 개의 궤환 경로가 존재하는 경우, 기저대역 신호처리를 활용하는 ICS (Interference Cancellation System) 중계기에서 궤환 간섭 신호 제거를 위한 궤환 채널 추정 방식을 제시하고 그 성능을 평가한다. 제시한 방식은 경로별 채널 추정을 수행하는 기존 방식과 비교하여 MSE (Mean-Squared-Error) 측면에서 10dB 이상의 성능 이득을 갖는다.

Fuzzy Controller Design for Markovian Jump Nonlinear Systems

  • Dong, Jiuxiang;Yang, Guang-Hong
    • International Journal of Control, Automation, and Systems
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    • 제5권6호
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    • pp.712-717
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    • 2007
  • This paper is concerned with the problem of state feedback control of continuous-time nonlinear Markovian jump systems, which are represented by Takagi-Sugeno fuzzy models. A new method for designing state feedback stabilizing controllers is presented in terms of solvability of a set of linear matrix inequalities (LMIs), and it is shown that the new design method provides better or at least the same results of the existing method in the literature. Finally, a numerical example is given to illustrate the effectiveness of the proposed method.

H$\infty$ Fuzzy Dynamic Output Feedback Controller Design with Pole Placement Constraints

  • Kim, Jongcheol;Sangchul Won
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2001년도 ICCAS
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    • pp.176.5-176
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    • 2001
  • This paper presents a fuzzy dynamic output feedback controller design method for Parallel Distributed Compensation (PDC)-type Takagi-Sugeno (T-S) model based fuzzy dynamic system with H$\infty$ performance and additional constraints on the closed pole placement. Design condition for these controller is obtained in terms of the linear matrix inequalities (LMIs). The proposed fuzzy controller satisfies the disturbance rejection performance and the desired transient response. The design method is verified by this method for an inverted pendulum with a cart using the proposed method.

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불완전 모달 정보를 이용한 모드 분리 제어기 기반의 모델 개선법 (Model Updating Method Based on Mode Decoupling Controller with Incomplete Modal Data)

  • 하재훈;박윤식;박영진
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2005년도 추계학술대회논문집
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    • pp.963-966
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    • 2005
  • Model updating method is known to the area to correct finite element models by the results of the experimental modal analysis. Most common methods in model updating depend on a parametric model of the structure. In this case, the number of parameters is normally smaller than that of modal data obtained from an experiment. In order to overcome this limitation, many researchers are trying to get modal data as many as possible to date. 1 want to name this method multiple modified-system generation method. These Methods consist of direct system modification method and feedback controller method. The direct system modification Is to add a mass or stiffness on the original structure or perturb the boundary conditions. The feedback controller method is to make the closed food system with sensor and actuator so as to get the closed loop modal data. In this paper, we need to focus on the feedback controller method because of its simplicity. Several methods related the feedback controller methods are virtual passive controller (VPC) sensitivity enhancement controller (SEC) and mode decoupling controller (MDC). Among them, we will apply MDC to the model updating problem. MDC has various advantages compared with other controllers, such as VPC and SEC. To begin with, only the target mode can be changed without changing modal property of non-target modes. In addition, it is possible to fix any modes if the number of sensors is equal to that of the system modes. Finally, the required control power to achieve desired change of target mode is always lower than those of other methods such as VPC. However, MDC can make the closed loop system unstable when using incomplete modal data. So we need to take action to avoid undesirable instability from incomplete modal data. In this paper, we address the method to design the unique and robust MDD obtained from incomplete modal data. The associated simulation will be Incorporated to demonstrate the usefulness of this method.

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복부 할로잉 운동에서 실시간 초음파 영상 피드백의 사용 효과 (The Use of Real-Time Ultrasound Imaging for Feedback during Abdominal Hollowing)

  • 권남희;이현옥;박두진
    • 대한물리의학회지
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    • 제6권3호
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    • pp.303-310
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    • 2011
  • Purpose : This study examined the feedback effect of real-time ultrasound imaging on the thickness of transversus abdominis(TrA), internal abdominal oblique(IO) and external abdominal oblique(EO) during abdominal hollowing exercise(AHE) in crook lying. Methods : We performed this study on 30 healthy men who voluntarily consented to participate in this study after listening to its purpose and method. All subject were divided into an experimental group(n=15) with using the real-time ultrasound imaging feedback(RUIF) and a control group(n=15) without the RUIF The thickness changes between rest and AHE were compared between the two groups in crook lying. Results : The difference in TrA and EO thickness changes between the groups were significant in crook lying (p<0.05). Conclusion : The group with using real-time ultrasound imaging feedback showed a higher increase in the thickness of TrA than the other group without real-time ultrasound imaging feedback. And the thickness of EO in the group with using real-time ultrasound imaging feedback decreased than the other group without real-time ultrasound imaging feedback. If the muscle thickness can be regarded as an indicator of muscle activity, RUIF will be helpful for inducing the independent activity of TrA by reducing the activities of abdominal muscles such as EO.

Novel schemes of CQI Feedback Compression based on Compressive Sensing for Adaptive OFDM Transmission

  • Li, Yongjie;Song, Rongfang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제5권4호
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    • pp.703-719
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    • 2011
  • In multi-user wireless communication systems, adaptive modulation and scheduling are promising techniques for increasing the system throughput. However, a mass of wireless recourse will be occupied and spectrum efficiency will be decreased to feedback channel quality indication (CQI) of all users in every subcarrier or chunk for adaptive orthogonal frequency division multiplexing (OFDM) systems. Thus numerous limited feedback schemes are proposed to reduce the system overhead. The recently proposed compressive sensing (CS) theory provides a new framework to jointly measure and compress signals that allows less sampling and storage resources than traditional approaches based on Nyquist sampling. In this paper, we proposed two novel CQI feedback schemes based on general CS and subspace CS, respectively, both of which could be used in a wireless OFDM system. The feedback rate with subspace CS is greatly decreased by exploiting the subspace information of the underlying signal. Simulation results show the effectiveness of the proposed methods, with the same feedback rate, the throughputs with subspace CS outperform the discrete cosine transform (DCT) based method which is usually employed, and the throughputs with general CS outperform DCT when the feedback rate is larger than 0.13 bits/subcarrier.

동료 릴레이 피드백 전략이 수학과 학업성취도와 수학적 의사소통능력에 미치는 영향 (An Analysis of the Effect of Peer-to-peer Relay Feedback Strategy on Achievement and Communication ability in Mathematics)

  • 이영순;이상수
    • 한국수학교육학회지시리즈A:수학교육
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    • 제55권4호
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    • pp.503-522
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    • 2016
  • The purpose of this study is to investigate the effects of peer-to-peer relay feedback strategy on achievement in mathematical problem solving and mathematical communication ability. The experimental instruction was given to 99 students. They were divided into two groups. In this research a strategy of peer-to-peer relay feedback is developed. To enhance lateral communication, students were instructed according to the strategy to read open-type problems, to write mathematical ideas individually and to share their ideas and get feedback in relay method with peers within a small subgroup. The results are as follows. 1) Mathematics achievement assessments were carried six times in the cleanup phases of the class. There was no difference at the 1st test. 2) The second t-test of mathematical communication abilities showed that there was meaningful difference and that peer-to-peer relay feedback was effective. But there was no difference on reading. 3) Peer-to-peer relay feedback strategy has a positive impact.

궤환 제어를 이용한 모델 개선법 : 측정 센서 위치와 궤환 이득값 설정 (Model updating using the feedback exciter : The decision of sensor location & feedback gain)

  • 정훈상;박영진
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2002년도 춘계학술대회논문집
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    • pp.802-807
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    • 2002
  • The updating of FE model to match it with the experimental results needs the modal information. There are two cases where this methodology is ill-equip to deal with; under-determined and ill-conditioning problem. The feedback exciter that uses the summation of the white noise and the signals from the measurement sensors multiplied with feedback gains can deal with these problems as the new modal data from the closed loop system generate more constraints the updating parameters should obey. The new modal data from the closed loop system should be different to enhance the condition of the modal sensitivity matrix. In this research, a guide for the selection of the sensor locations and the decision of the corresponding output feedback gains is proposed. This method is based on the sensitivity of the modal data with respect to the feedback gains. Through the proper selection of the exciter and sensor locations and the feedback gain, the eigenvalue sensitivity of the updating parameters which cause the ill-conditioning of the modal sensitivity matrix can be modified and consequently the error contamination in updating parameters are reduced.

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궤환 모델 개선법 : 부정정 구조물에의 적용 (Feedback Model Updating: Application to Indeterminate Structure)

  • 정훈상;박영진;박윤식
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2003년도 춘계학술대회논문집
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    • pp.59-64
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    • 2003
  • The parameter modification of the initial FEM model to match it with the experimental results needs the modal information and the modal sensitivity matrix to the parameter change. There are two cases this methodology is ill-equip to deal with; the deficiency of the necessary modal information and the ill-conditioning of the sensitivity matrix. In this research, a novel concept of the feedback exciter that uses the summation of the white noise and the signals from the measurement sensors multiplied with feedback gains as the reference signal is proposed. There are 2 advantages using this external feedback excitation. First, we can use the change of the system response such as modal data by the active energy Path from the sensor to the exciter. This change of the system response can be additional clues to the system dynamics that we want to know. Secondly, the external energy Path alternates the offset of the Parameter change to the system response. That means the modal sensitivity of the parameters becomes different from the original sensitivities by the feedback excitation. Through the feedback loop, we can change the similar modal sensitivities of some updating parameters and consequently discriminate the parameters using the closed-loop modal data. To demonstrate the discrimination performance, the parameter estimation of an indeterminate structure by use of the feedback method is introduced.

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PCA 기반 특징 되먹임을 이용한 중요 영역 추출 (Extraction of Important Areas Using Feature Feedback Based on PCA)

  • 이승현;김도연;최상일;정구민
    • 한국정보전자통신기술학회논문지
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    • 제13권6호
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    • pp.461-469
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    • 2020
  • 본 논문에서는 손글씨 숫자 데이터셋, 얼굴 데이터셋의 중요영역 추출을 위한 PCA 기반의 특징되먹임방법을 제안한다. 이전의 LDA 기반의 특징되먹임 방법을 확장하여 PCA 기반 특징되먹임 방법이 제안된다. 제안된 방법에서 데이터에 차원 축소 머신러닝 알고리듬 중 하나인 PCA 기법을 적용하여 데이터를 중요한 특징 차원들로 축소한다. 차원 축소과정에서 도출되는 weight를 통해 축소된 각 차원 축에서의 데이터 중요 지점을 확인한다. 각 차원 축은 축의 고유값의 크기에 따라 전체 데이터에서의 가중치가 다르다. 이에 각 차원 축의 고유값의 크기에 비례하는 가중치를 부여하여 각 차원 축에서의 데이터 중요 지점을 합하는 연산 과정을 거친다. 연산 과정을 통해 얻어진 데이터에 Threshold를 적용하여 데이터의 중요 영역을 구한다. 그 후 도출된 데이터의 중요 영역에 원본데이터로 역매핑을 유도하여 원본 데이터 공간에서 중요영역을 선택한다. MNIST 데이터셋에 대한 실험 결과를 확인하고 기존의 LDA 기반의 특징되먹임 방법을 통한 결과와 비교를 하여 PCA기반 특징되먹임을 기반한 패턴 인식 방법의 유효성과 가능성을 확인한다.