• Title/Summary/Keyword: Robust algorithm

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Robust moving horizon control of nonlinear systems

  • Yang, Hyun-Suk
    • 제어로봇시스템학회:학술대회논문집
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    • 1995.10a
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    • pp.279-282
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    • 1995
  • In this paper, a moving horizon control algorithm, which can be applied for a wide class of nonlinear systems with control and state constraints, is considered. In a neighborhood of the origin, a linear feedback controller is applied. Outside this neighborhood, a moving horizon control law is applied. The time taken to solve an optimal control problem is considered in the algorithm so that the proposed control law can be applied as an on-line controller.

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Hybrid Watermarking Algorithm for MPEG Video (MPEG 비디오를 위한 하이브리드 워터마킹 알고리즘)

  • 이형훈;최재훈;배창석;최윤식
    • Proceedings of the IEEK Conference
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    • 1999.06a
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    • pp.1075-1078
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    • 1999
  • In this paper, we propose a hybrid watermarking algorithm for MPEG bitstream. Hybrid watermarking technique uses Spread Spectrum technique for I-frame and Motion Vector technique for P, B-frame. Thus, it enables all MPEG frame to be watermarked. By applying above technique, it is possible not only to protect intellectual property right but also to be robust to all kinds of attacks. And this scheme requires partial decoding of MPEG bitstream, so it can be applied to real time watermarking applications.

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Joint Carrier Recovery and Adaptive Blind Equalization Algorithm for High-level QAM (반송파 동기와 결합한 고차 QAM을 위한 적응 자력등화 알고리즘)

  • 임창현;김기윤;김동규;최형진
    • Proceedings of the IEEK Conference
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    • 1999.11a
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    • pp.47-50
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    • 1999
  • Adaptive channel equalization accomplished without resorting to a training sequence is known as blind equalization. The Constant Modulus Algorithm(CMA) and Modified CMA(MCMA) are widely referenced algorithms for blind equalization of a QAM system. This paper proposes a hybrid scheme of CMA and MCMA with Carrier Recovery that is robust for high level QAM with low steady state tracking error.

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An Adaptive Digital Watermarking Using DWT and FIS

  • Song Hag-Hyun;Kim Yoon-Ho
    • Journal of Digital Contents Society
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    • v.5 no.2
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    • pp.128-132
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    • 2004
  • In this paper, a Fuzzy Inference System(FIS) based watermarking algorithm in Discrete Wavelet Transform(DWT) domain is proposed. A 2D fuzzy inference values, in which the inputs are parameters of the coefficients of the DWT block of the original image and the output is strength of watermark embedded, is devised. The fuzzy inference algorithm guarantees that the watermark to be embedded into the original image adaptively. The experimental results shows that proposed approach is robust to the digital image processing schemes.

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Diagnosis of Linear Systems with Structured Uncertainties based on Guaranteed State Observation

  • Planchon, Philippe;Lunze, Jan
    • International Journal of Control, Automation, and Systems
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    • v.6 no.3
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    • pp.306-319
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    • 2008
  • Reaching fault tolerance in technological systems requires to detect malfunctions. This paper presents a diagnostic method that is robust with respect to unknown-but-bounded uncertainties of the dynamical model and the measurements. By using models of the faultless and the faulty behaviours, a state-set observer computes polyhedral sets from which the consistency of the models with the interval measurements is determined. The diagnostic result is proven to be complete, i.e., the set of faults obtained by the diagnostic algorithm includes the actual fault. The algorithm is illustrated by an application example.

An Adaptive Controller based on Zero-gain prediction Approach (영 이득 예측법에 의한 적응 제어기)

  • Yun, Se-Bong;Han, Hong-Seok;Yang, Hai-Won
    • Proceedings of the KIEE Conference
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    • 1987.11a
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    • pp.73-75
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    • 1987
  • The paper proposes a class of discrete-time adaptive controller which may be applicable without sufficient a priori information. Against choices of the Information, GPC algorithm may seem to be more robust than any other methods reported, but it is the method based on Indirect approach. It is, therefore, reasonable to propose an algorithm via the zero-gain prediction, in which the control parameters are directly estimated and calculated.

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Caption Detection Algorithm Using Temporal Information in Video (동영상에서 시간 영역 정보를 이용한 자막 검출 알고리듬)

  • 권철현;신청호;김수연;박상희
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.53 no.8
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    • pp.606-610
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    • 2004
  • A noble caption text detection and recognition algorithm using the temporal nature of video is proposed in this paper. A text registration technique is used to locate the temporal and spatial positions of captions in video from the accumulated frame difference information. Experimental results show that the proposed method is effective and robust. Also, a high processing speed is achieved since no time consuming operation is included.

Position Control of Fuzzy-Sliding Mode Controller (퍼지-슬라이딩모드 제어를 이용한 위치제어에 관한 연구)

  • 한경욱;임영도
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2000.12a
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    • pp.221-224
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    • 2000
  • We consider one of robust controller, fuzzy-sliding mode controller dealing with model uncertainty, simplified representation of nonlinear system, changed parameters of plant. We propose fuzzy-sliding mode algorithm which provides control input that has system states approaching the choosed sliding surface. This fuzzy controller has a rule base to get initial states converged on sliding surface. This algorithm Is applied to a transfer function of DC motor to be modeled simply and do position control of DC motor due to system parameters. We compare fuzzy-sliding mode controller to both sliding mode controller and fuzzy controller to identify roust control.

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Speed Control of DC Series Wound Motor Using a Genetic A1gorithm with Self-Tuning Method (유전알고리즘의 자기동조 방법에 의한 직류 직권모터 모터 속도제어)

  • Bae, Jong-Il;Je, Chang-Woo
    • Proceedings of the KIEE Conference
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    • 2003.07d
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    • pp.2763-2765
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    • 2003
  • Generally, we made use of PID control for torque control, speed control and stability, Hence, dynamic characteristic of DC motor has been studied for stable drive and accurate speed control by many engineers. But, in this paper, we applied genetic algorithm to current control for robust control and stability In conclusion, we prove that current control of genetic algorithm can be high efficiency.

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A real-time QRS complex detection algorithm using topological mapping in ECG signals (심전도 신호의 위상학적 팹핑을 이용한 실시간 QRS 검출 알고리즘)

  • 이정환;정기삼;이병채;이명호
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.35S no.5
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    • pp.48-58
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    • 1998
  • In this paper, we proposed a new algorithm using characteristics of th ereconstructed phase trajectory by topological mapping developed for a real-tiem detection of the QRS complexes of ECG signals. Using fill-factor algorithm and mutual information algorithm which are in genral used to find out the chaotic characteristics of sampled signals, we inferred the proper mapping parameter, time delay, in ECG signals and investigated QRS detection rates with varying time delay in QRS complex detection. And we compared experimental time dealy with the theoretical one. As a result, it shows that the experimental time dealy which is proper in topological mapping from ECG signals is 20ms and theoretical time delays of fill-factor algorithm and mutual information algorithm are 20.+-.0.76ms and 28.+-.3.51ms, respectively. From these results, we could easily infer that the fill-factor algorithm in topological mapping from one-dimensional sampled ECG signals to two-dimensional vectors, is a useful algorithm for the detemination of the proper ECG signals to two-dimensional vectors, is a useful algorithm for the detemination of the proper time delay. Also with the proposed algorithm which is very simple and robust to low-frequency noise as like baseline wandering, we could detect QRS complex in real-time by simplifying preprocessing stages. For the evaluation, we implemented the proposed algorithm in C-language and applied the MIT/BIH arrhythmia database of 48 patients. The proposed algorithm provides a good performance, a 99.58% detection rate.

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