• Title/Summary/Keyword: robustness

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ON THE MINIMAX VARIANCE ESTIMATORS OF SCALE IN TIME TO FAILURE MODELS

  • Lee, Jae-Won;Shevlyakov, Georgy-L.
    • Bulletin of the Korean Mathematical Society
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    • v.39 no.1
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    • pp.23-31
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    • 2002
  • A scale parameter is the principal parameter to be estimated, since it corresponds to one of the main reliability characteristics, namely the average time to failure. To provide robustness of scale estimators to gross errors in the data, we apply the Huber minimax approach in time to failure models of the statistical reliability theory. The minimax valiance estimator of scale is obtained in the important particular case of the exponential distribution.

Robust tuning of quadratic criterion-based iterative learning control for linear batch system

  • Kim, Won-Cheol;Lee, Kwang-Soon
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10a
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    • pp.303-306
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    • 1996
  • We propose a robust tuning method of the quadratic criterion based iterative learning control(Q-ILC) algorithm for discrete-time linear batch system. First, we establish the frequency domain representation for batch systems. Next, a robust convergence condition is derived in the frequency domain. Based on this condition, we propose to optimize the weighting matrices such that the upper bound of the robustness measure is minimized. Through numerical simulation, it is shown that the designed learning filter restores robustness under significant model uncertainty.

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An Optimal Controller Design for Gun Driving System of Combat Vehicles (기동전투차량의 포 구동장치 최적제어기 설계)

  • Kim, Ji-Young;Lee, Seok-Jae;Lyou, Joon
    • Proceedings of the KIEE Conference
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    • 2004.11c
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    • pp.62-65
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    • 2004
  • An optimal robust controller design method for gun driving system is discussed in this paper. The parameters of the gun driving controller are tuned by using the LQR characteristics for the performance and robustness. Tuning method that optimize velocity error gives a significant improvement over the existing PID tuning methods. It is shown that the tuning result of real gun driving system which is regarded as rigidness model or stiffness model satisfy performance and robustness.

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A Study on the Improvement of Robustness of a Direct Adaptive Controller (직접 적응 제어기의강인성 및 성능의 개선에 관한연구)

  • 김응석;김홍필;양해원
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.40 no.6
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    • pp.606-614
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    • 1991
  • A robust direct adaptive controller with respect to additive and multiplicative unmodeled dynamics is designed. A new term, proportional to the product of the bounded tracking error and normalizing signal, is added to the conventional control input for improvement of robustness and performances of an adaptive system. It is shown by the mathematical analysis and simulation results that the stability of the closed loop system is guaranteed and the performance of the system is improved.

Robust PID Controller Design using Sensitivity Function (감도함수를 이용한 강인한 PID 제어기 설계)

  • Oh, Won-Geun;Lim, Dong-Kyun;Cho, Tae-Kyung
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.54 no.3
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    • pp.129-133
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    • 2005
  • In this paper we present a new PID controller design method using IMC design. The PID controller is derived based on the ${\infty}$-norm of sensitivity function to guarantee stability and performance robustness. This new PID controller is suitable for the plant with right half plane zeros or with time delay. The Simulation results show that the new method is superior to Ziegler-Nichols, Morari-Zafiriou, Mattezzoni-Rocco methods in respects in overshoot and settling time.

A New Design Method of Sliding Mode Fuzzy Controller with Robust and fast Performance (강인성과 응답 성능을 고려한 슬라이딩모드 퍼지 제어기 설계에 관한 연구)

  • 박창우;이장욱
    • Proceedings of the IEEK Conference
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    • 1998.10a
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    • pp.425-428
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    • 1998
  • This paper proposes a new fuzzy controller using variable structure control theory. In this paper, after the time-varying fuzzy sliding surface is designed, the fuzzy rules are defined based on the variable structure control theory. This design method makes the fuzzy controller design more structured and can guarantee the stability and robustness of the fuzzy controller and overcome the shortcoming of the variable structure system. Through computer simulation and experiment of nonlinear inverted pendulum system, this thesis demonstrate that system has the robustness against disturbance and modelling error, and the tracking performance of it is improved.

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On Robustness of Linear Quadratic State Feedback Regulators for Infinite Dimensional systems (무한차원 시스템을 위한 선형 이차상태 궤한 제어기의 견인성에 관한 연구)

  • Seo, Jin-Heon
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.37 no.7
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    • pp.490-497
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    • 1988
  • This paper is concerned with the robust stability of linear quadratic state feedback regulators for infinite dimensional systems in the presence of system uncertainties Several robustness results ensuring the asymptoitc stability and exponential stability of the perturbed closed loop system are derived for a class of nonlinear perturbations of the system and input operators satisfying the matching condition. For the case where the input space is finite dimensional, some robust properties of the state feedback regulator designed on the basis of the linear quadratic regulator for finite dimensional unstable modes are also discussed seperately.

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A Tracking Controller for Robot Manipulator Using Sliding Mode Control (슬라이딩 모드를 이용한 로봇 메니플레이터의 추적제어기)

  • 이정훈;이주장;윤명중;권우현
    • Proceedings of the KIPE Conference
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    • 1996.06a
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    • pp.5-12
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    • 1996
  • In this paper, we design a Continuous Variable Structure Controller which can control robot manipulators to follow the desired planned trajectory with accuracy and robustness, and improve continuity and robustness of variable structure control, based on disturbance observer. We also analyze the stability the proposed algorithm and then verify the usefulness and performance through simulation stuies.

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The robustness of continuous self tuning controller for retarded system

  • Lee, Bongkuk;Huh, Uk Youl
    • 제어로봇시스템학회:학술대회논문집
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    • 1991.10b
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    • pp.1930-1933
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    • 1991
  • In this paper, the robustness of self turning controller on the continuous time-delay system is investigated. The polynomial identification method using continuous time exponentially weighted least square algorithm is used for estimating the time.-delay system parameters. The pole-zero and pole placement method are adopted for the control algorithm. On considering the control weighting factor and reliability filter the effect of unmodeled dynamics of the plant are examined by the simulation.

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Sliding Manifold Tuning Method Using Wavelet Neural Network (웨이브릿 신경회로망을 활용한 슬라이딩 매니폴드 조정기법)

  • 홍석우;전홍태
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2000.11a
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    • pp.195-198
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    • 2000
  • Sliding mode control method is popularly used for robustness to distrurbance and variance of systems internal parameter. However, one of the serious problem of this method is Chattering which occurs in neighborhood of sliding manifold. Another problem is that we cannot expect robustness before system starts sliding mode. A new tuning method of sliding manifold which changes the parameter of sliding manifold dynamically using Wavelet Neural Network is proposed in this paper. We can expect the better performance in sliding mode control by the wavelet neural networks excellent property of approximating arbitrary function for multi-resolution analysis and decrease chattering drastically.

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