• Title/Summary/Keyword: multivariable

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Standard decomposed system (표준분해시스템)

  • 하인중
    • 제어로봇시스템학회:학술대회논문집
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    • 1986.10a
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    • pp.55-60
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    • 1986
  • Conditions for achieving noninteraction in nonlinear multivariable systems via the decomposition of state space are well established. The main contribution of this paper is to present a Standard Decomposed System (SDS). The SDS is similar to the decomposed system of Isidorl, Krener, Gori-Giorgi, and Monaco but has a finer structure. The finer structure parallels the one used by Gilbert for linear systems. A weaker form of noninteraction, based on input-output behaviour, is decoupling. Some connections between decomposition and decoupling are also established.

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A study on the robust model-following control system (Robust 모델추종 제어계통에 관한 연구)

  • 천희영;박귀태;이종렬
    • 제어로봇시스템학회:학술대회논문집
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    • 1986.10a
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    • pp.373-376
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    • 1986
  • This paper proposes a robust model following control system which realizes good properties such as asymptotic stability, disturbance rejection and model following with reduced sensitivity for plant parameter variation. This algorithm can be easily applied to the multivariable control systems and the control structure is simple. As an example the aircraft control system of a convair C-131B is designed and its characteristics are examined by simulation.

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Robust multivariable control of tandem cold mills (연속 냉간 압연시스템의 강인한 다변수 제어)

  • Kim, J.S.;Kim, C.M.;Kwak, J.H.
    • Journal of the Korean Society for Precision Engineering
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    • v.11 no.5
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    • pp.66-74
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    • 1994
  • A loop-shaping LQ controller is synthesized for tandem cold mills. And a new loop- shaping technique is suggested for LQ controller design. The suggested loop-shaping LQ control system is compared with the standard loop-shaping LQ control system. The simulation results show that the theickness and interstand tension control accuracy of tandem cold mills can be improved by the compensated loop-shaping LQ controller.

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Robust tracking in multivariable nonlinear systems (다변수 비선형시스템에서의 강인한 추적)

  • 백운보;배종일;이만형
    • 제어로봇시스템학회:학술대회논문집
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    • 1990.10a
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    • pp.451-456
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    • 1990
  • We treat the problem of the robust tracking of a class of nonlinear systems which can be asymptotically decoupled in approximate sense by state variable feedback. A nonlinear control law is derived such that the tracking error in the closed loop system is uniformly bounded and tends to a certain small neighborhood of the origin. Simulation results show that simultaneous lateral and longitudinal maneuvers in airplane can be accurately performed in spite of uncertainty in stability derivatives.

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Design of fuzzy controller for activated sludge process in sewage water treatment system (하수처리 시스템에서의 활성오니공정 제어를 위한 퍼지제어기 설계)

  • 황희수;오성권;김현기;우광방
    • 제어로봇시스템학회:학술대회논문집
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    • 1990.10a
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    • pp.209-212
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    • 1990
  • The activated sludge process is a commonly used method for treating sewage and waste waters. The process is characterized by a lack of measurement instrumentations and control goals that are neither well defined nor well understood. In the present study the concept of fuzzy control is employed for such process in which a design method for fuzzy controller based on a multivariable fuzzy reasoning algorithms is investigated and then simulation results are presented.

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The Combined Classical/Modern Technique for Optimal Fesign of Robust Motion Controller (강인한 운동제어기의 최적 설계를 위한 고전적 기법과 현대적 기법의 결합)

  • 김삼수
    • 제어로봇시스템학회:학술대회논문집
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    • 1990.10a
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    • pp.485-492
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    • 1990
  • This paper propose a optimal design method for robust notion controllers of under-water vehicles using the combined technique between classical and modern theories. The proposed method is presented which utilizes classical control methods to obtain a good robustness and modern control methods to set optimal gains. LQ, SVD, multivariable frequency analysis and Bode-Root Locus (BRL) plot are used.

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Output feedback semiglobal stabilization for a nonlinear system (광범위한 안정 영역을 갖는 출력만을 이용한 제어기 설계)

  • 오성록
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.34S no.9
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    • pp.60-66
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    • 1997
  • WE consider the stabilization of a class of multivariable nonlinear system using variable structure output feedback control. A high-gain observer is used to estimate state variable while rejecting the effect of the disturbances. We design a globally bounded output feedback variable structure controller that semi-globally stabilize the closed-loop system, while state variables do not exhibit a peaking.

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Facial Region Detection Using the Multivariable Histogram Technique (다변수 히스토그램 기법을 이용한 얼굴 영역 추출)

  • 황선철;김준영;김우생
    • Proceedings of the Korean Information Science Society Conference
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    • 2000.04b
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    • pp.574-576
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    • 2000
  • 디지털 영상 처리에서 사람 얼굴 인식은 여러 응용 분야에 요구되어 활발한 연구가 진행되어 왔다. 본 논문에서는 얼굴이 있는 칼라 영상에서 얼굴 영역을 자동으로 추출하기 위한 알고리즘을 기술한다. 영상에 있는 얼굴 및 복잡한 배경과 다른 구성 성분들을 분류시켜 표현할 수 있도록 하기 위해 다변수 히스토그램 기법을 이용하여 얼굴 후보 영역과 머리 후보영역을 추출하고, 머리와 얼굴 후보 영역들간의 상관관계를 고려하여 최종 얼굴 영역을 검출한다. 본 논문에서 제안된 방법의 성능을 검증하기 위하여 인터넷상에 있는 128개의 영상을 입력 데이터로 실험한 결과, 인식 시간이 빠르고 영상의 배경에도 강건한(robust) 효율적인 방법임을 알 수 있었다.

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Robust Controller Design for Uncertain Dynamic System Using Time Delay Control and Sliding Mode Control Method (시간지연 제어와 슬라이딩모드 제어기법을 이용한 불확실한 동적 시스템의 강인 제어기 설계)

  • 박병석;이인성;윤지섭;강이석
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.225-225
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    • 2000
  • We propose the hybrid robust controller for TDC(Time Delay Control) and SMC(Sliding Mode Control) method. TDC and SMC deal with the time-varying system parameters, unknown dynamics and unexpected disturbance. This controller is applied to follow the desired reference model for the uncertain time-varying overhead crane. The control performance is evaluated through simulation. The theoretical results indicate That the proposed controller shows excellent performance to an overhead crane with the uncertain time-varying parameters and disturbance.

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퍼지-신경망을 이용한 시간지연 공정 시스템에 대한 적응제어 기법

  • 최중락;곽동훈;이동익
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1996.11a
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    • pp.994-998
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    • 1996
  • We propose an approach to integrating fuzzy logic control with RBF(Radial Basis Function) networks and show how the integrated network can be applied to multivariable self-organizing and self-learning fuzzy controller. Using the hybrid learning algorithm. To investigate its usefulness and performance, this controller is applied to a time-delayed process system. Simulation results show good control performance and fast convergency in hybrid loaming method.

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