• 제목/요약/키워드: generalized system

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클러터 환경에서의 GLRT 기반 표적 탐지성능 (Target Detection Performance in a Clutter Environment Based on the Generalized Likelihood Ratio Test)

  • 서진배;전주환;정지현;김진욱
    • 한국전자파학회논문지
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    • 제30권5호
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    • pp.365-372
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    • 2019
  • 본 논문에서는 일반화우도비검정(generalized likelihood ratio test: GLRT)에 있는 모르는 파라미터(표적의 크기, 클러터의 파라미터)를 최대우도추정(maximum likelihood estimation: MLE) 방법 또는 Newton-Raphson method를 통해 추정하는 방법에 대해서 제안하였다. 클러터 환경에서 표적을 탐지할 경우, 실제 환경과 유사하게 클러터의 수식적인 모델을 세우는 것이 중요하다. 이러한 서로 상관된 클러터 모델은 SIRV(Spherically Invariant Random Vector)를 이용하여 생성할 수 있다. 생성된 클러터 모델에 대한 일반화우도비검정 식을 세우고, 추정된 파라미터에 대한 일반화우도비검정의 탐지확률을 모의실험을 통해 확인하였다.

관측가능하지 않은 다중출력 비선형 시스템의 관측기 설계기법 (Observer Design for Multi-Output Unobservable Nonlinear Systems)

  • 조남훈
    • 제어로봇시스템학회논문지
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    • 제10권7호
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    • pp.575-582
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    • 2004
  • The observer design problem is studied for a class of multi-output nonlinear systems that are not necessarily observable. Generalized nonlinear observer canonical form is introduced for multi-output nonlinear systems to design nonlinear observers. Sufficient conditions are given for a nonlinear system to be transformed by state-space change of coordinates into generalized nonlinear observer canonical form. Based on this canonical from, a sufficient condition is also given for the existence of nonlinear observers. An illustrative example is presented to show the design procedure of the proposed method.

견실성능 최적화를 위한 혼합 H_2/H_{\infty}$ 제어기설계 알고리즘 (Mixed H_2/H_{\infty}$ controller design algorithm for robust performance optimization)

  • 김종해;방경호;박홍배
    • 전자공학회논문지B
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    • 제33B권5호
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    • pp.10-16
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    • 1996
  • In this paper, we consider a generalized mixed H_2/H_{\infty}$ output feedback problem. It is finding an internally stabilizing controller that minimizes a mixed $H_{2}$/ $H_{performance}$ measure. We show that a generalized mixed H_2/H_{\infty}$ system with two exogenous inputs and two controlled signals is transformed into auxiliary system with two exogenous inputs and one controlled signal. The two systems have equivalent performance. Therefore, a complete solution of generalized mixed H_2/H_{\infty}$ output feedback problem is achieved by existing results of mixed H_2/H_{\infty}$ control theory.

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A STUDY ON QUADRATIC CURVES AND GENERALIZED ECCENTRICITY IN POLAR TAXICAB GEOMETRY

  • Kim, Kyung Rok;Park, Hyun Gyu;Ko, Il Seog;Kim, Byung Hak
    • Korean Journal of Mathematics
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    • 제22권3호
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    • pp.567-581
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    • 2014
  • Over the years, there has been much research conducted on quadratic curves and the set of points with the generalized notion of eccentricity in a plane with metrics such as taxicab distance or Chinese-checker distance. On the other hand, polar taxicab distance has been newly proposed on the polar coordinate system, a type of curvilinear coordinate system, to overcome the limitation of pre-existing metrics in terms of describing curved routes. Previous study has looked into the fundamental properties of this metric. From this point of view, we study the quadratic curves and the set of points with the generalized notion of eccentricity in a plane with polar taxicab distance.

Integrated Generation and Transmission Expansion Planning Using Generalized Bender’s Decomposition Method

  • Kim, Hyoungtae;Lee, Sungwoo;Kim, Wook
    • Journal of Electrical Engineering and Technology
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    • 제10권6호
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    • pp.2228-2239
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    • 2015
  • A novel integrated optimization method based on the Generalized Bender’s Decomposition (GBD) is proposed to combine both generation and transmission expansion problems. Most of existing researches on the integrated expansion planning based on the GBD theory incorporate DC power flow model to guarantee the convergence and improve the computation time. Inherently the GBD algorithm based on DC power flow model cannot consider variables and constraints related bus voltages and reactive power. In this paper, an integrated optimization method using the GBD algorithm based on a linearized AC power flow model is proposed to resolve aforementioned drawback. The proposed method has been successfully applied to Garver’s six-bus system and the IEEE 30-bus system which are frequently used power systems for transmission expansion planning studies.

Design of Multi-loop PID Controllers Based on the Generalized IMC-PID Method with Mp Criterion

  • Vu Truong Nguyen Luan;Lee Jie-Tae;Lee Moon-Yong
    • International Journal of Control, Automation, and Systems
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    • 제5권2호
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    • pp.212-217
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    • 2007
  • A new method of designing multi-loop PID controllers is presented in this paper. By using the generalized IMC-PID method for multi-loop systems, the optimization problem involved in finding the PID parameters is efficiently simplified to find the optimum closed-loop time constant in a reduced search space. A weighted sum Mp criterion is proposed as a performance cost function to cope with both the performance and robustness of a multi-loop control system. Several illustrative examples are included to demonstrate the improved performance of the multi-loop PID controllers obtained by the proposed design method.

GENERALIZED SOLUTIONS OF IMPULSIVE CONTROL SYSTEMS CORRESPONDING TO CONTROLS OF BOUNDED VARIATION

  • Shin, Chang-Eon
    • 대한수학회지
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    • 제34권3호
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    • pp.581-598
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    • 1997
  • This paper is concerned with the impulsive control problem $$ \dot{x}(t) = f(t, x) + g(t, x)\dot{u}(t), t \in [0, T], x(0) = \overline{x}, $$ where u is a possibly discontinuous control function of bounded variation, $f : R \times R^n \mapsto R^n$ is a bounded and Lipschitz continuous function, and $g : R \times R^n \mapsto R^n$ is continuously differentiable w.r.t. the variable x and satisfies $\mid$g(t,\cdot) - g(s,\cdot)$\mid$ \leq \phi(t) - \phi(s)$, for some increasing function $\phi$ and every s < t. We show that the map $u \mapsto x_u$ is Lipschitz continuous when u ranges in the set of step functions whose total variations are uniformly bounded, where $x_u$ is the solution of the impulsive control system corresponding to u. We also define the generalized solution of the impulsive control system corresponding to a measurable control functin of bounded variation.

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H$\infty$ State Feedback Control for Generalized Continuous/Discrete Time Delay System

  • Kim, Jong-Hae;Jeung, Eun-Tae;Lee, Sang-Kyung;Park, Hong-Bae
    • Journal of Electrical Engineering and information Science
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    • 제3권2호
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    • pp.163-169
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    • 1998
  • In this paper, we consider the problem of designing H$\infty$ state feedback controller for the generalized time systems with delayed states and control inputs in continuous and discrete time cases, respectively. The generalized time delay system problems are solved on the basis of LMI(linear matrix inequality) technique considering time delays. The sufficient condition for the existence of controller and H$\infty$ state feedback controller design methods are presented. Also, using some changes of variables and Schur complements, the obtained sufficient condition can be rewritten as a LMI form in terms of transformed variables. The propose controller design method can be extended into the problem of robust H$\infty$ state feedback controller design method easily.

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국부 통계 특성 및 일반화된 Gaussian 필터를 이용한 적응 노이즈 제거 방식 (An Adaptive Noise Removal Method Using Local Statistics and Generalized Gaussian Filter)

  • 송원선;응웬뚜안안;홍민철
    • 한국통신학회논문지
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    • 제35권1C호
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    • pp.17-23
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    • 2010
  • 본 논문에서는 국부 통계 및 일반화된 Gaussian 필터를 이용한 적응 노이즈 제거 방식으로, 인간 시각 시스템 기반의 국부 통계 특성을 이용하여 적응적으로 노이즈 검출하는 기법과 검출된 노이즈를 효과적으로 제거하기 위한 일반화된 Gaussian 필터 기법에 대해 제안한다. 제안방식의 성능을 기존 방식과 비교하여 객관적, 주관적 성능이 우수함을 확인할 수 있었다.

자기 회귀 웨이블릿 신경 회로망을 이용한 혼돈 시스템의 일반형 예측 제어 (Generalized Predictive Control of Chaotic Systems Using a Self-Recurrent Wavelet Neural Network)

  • 유성진;최윤호;박진배
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2003년도 학술회의 논문집 정보 및 제어부문 B
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    • pp.421-424
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    • 2003
  • This paper proposes the generalized predictive control(GPC) method of chaotic systems using a self-recurrent wavelet neural network(SRWNN). The reposed SRWNN, a modified model of a wavelet neural network(WNN), has the attractive ability such as dynamic attractor, information storage for later use. Unlike a WNN, since the SRWNN has the mother wavelet layer which is composed of self-feedback neurons, mother wavelet nodes of the SRWNN can store the past information of the network. Thus the SRWNN can be used as a good tool for predicting the dynamic property of nonlinear dynamic systems. In our method, the gradient-descent(GD) method is used to train the SRWNN structure. Finally, the effectiveness and feasibility of the SRWNN based GPC is demonstrated with applications to a chaotic system.

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