• Title/Summary/Keyword: input-output model

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A Computing Method of a Process Coefficient in Prediction Model of Plate Temperature using Neural Network (신경망을 이용한 판온예측모델내 공정상수 설정 방법)

  • Kim, Tae-Eun;Lee, Haiyoung
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.28 no.11
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    • pp.51-57
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    • 2014
  • This paper presents an algorithmic type computing technique of process coefficient in predicting model of temperature for reheating furnace and also suggests a design method of neural network model to find an adequate value of process coefficient for arbitrary operating conditions including test conditons. The proposed neural network use furnace temperature, line speed and slab information as input variables, and process coefficient is output variable. Reasonable process coefficients can be obtained by an algorithmic procedure proposed in this paper using process data gathered at test conditons. Also, neural network model output equal process coefficient under same input conditions. This means that adquate process coefficients can be found by only computing neural network model without additive test even if operating conditions vary.

Design of Human Works Model for Gantry Crane System

  • Kim Hwan Seong;Son Tran Ngoc Hoang;Kim Seong Ho
    • Journal of Navigation and Port Research
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    • v.29 no.2
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    • pp.135-140
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    • 2005
  • In this paper, we propose a human model for analysing the human work pattern or human fault, where a gantry crane simulator is used to survey the property cf human operation From the input and output cf gantry crane response, we make a human operation model by using conventional ARX identification method To identify the human model, we assume the eight inputs and two outputs. By using the achieved input/output data, we estimate the parameters of ARX for the human work model. To verify the proposed method, we compared the real data with the modeled data, where three kinds of work trajectory path are used.

Missile Adaptive Control using T-S Fuzzy Model (T-S 퍼지 모델을 이용한 유도탄 적응 제어)

  • 윤한진;박창우;박민용
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2001.12a
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    • pp.129-132
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    • 2001
  • In this paper, in order to control uncertain missile autopilot, an adaptive fuzzy control(AEC) scheme via parallel distributed compensation(PDC) is developed for the multi-input/multi-output plants represented by the Takagi-Sugeno(T-S) fuzzy model. Moreover adaptive law is designed so that the plant output tracks the stable reference model(SRM), From the simulations results, we can conclude that the suggested scheme can effectively solve the control problems of uncertain missile systems based on T-S fuzzy model.

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Identification of DEA Determinant Input-Output Variables : an Illustration for Evaluating the Efficiency of Government-Sponsored R&D Projects (DEA 효율성을 결정하는 입력-출력변수 식별 : 정부지원 R&D 과제 효율성 평가를 위한 실례)

  • Park, Sungmin
    • Journal of Korean Institute of Industrial Engineers
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    • v.40 no.1
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    • pp.84-99
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    • 2014
  • In this study, determinant input-output variables are identified for calculating Data Envelopment Analysis (DEA) efficiency scores relating to evaluating the efficiency of government-sponsored research and development (R&D) projects. In particular, this study proposes a systematic framework of design and analysis of experiments, called "all possible DEAs", for pinpointing DEA determinant input-output variables. In addition to correlation analyses, two modified measures of time series analysis are developed in order to check the similarities between a DEA complete data structure (CDS) versus the rest of incomplete data structures (IDSs). In this empirical analysis, a few DEA determinant input-output variables are found to be associated with a typical public R&D performance evaluation logic model, especially oriented to a mid- and long-term performance perspective. Among four variables, only two determinants are identified : "R&D manpower" ($x_2$) and "Sales revenue" ($y_1$). However, it should be pointed out that the input variable "R&D funds" ($x_1$) is insignificant for calculating DEA efficiency score even if it is a critical input for measuring efficiency of a government-sonsored R&D project from a practical point of view a priori. In this context, if practitioners' top priority is to see the efficiency between "R&D funds" ($x_1$) and "Sales revenue" ($y_1$), the DEA efficiency score cannot properly meet their expectations. Therefore, meticulous attention is required when using the DEA application for public R&D performance evaluation, considering that discrepancies can occur between practitioners' expectations and DEA efficiency scores.

The evaluation of aid effectiveness using the input-output analysis: the case of Vietnam (산업연관분석을 활용한 원조의 국가단위 효과 평가 - 한국 유상원조의 베트남 지원효과를 중심으로 -)

  • Park, Bokyeong;An, Jiyoun
    • International Area Studies Review
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    • v.22 no.2
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    • pp.211-218
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    • 2018
  • The evaluation of aid effectiveness at the national level has mostly focused on qualitative evaluation. This paper attempts to quantitatively evaluate EDCF 's support for Vietnam in 1995 ~ 2016 on the economy. First, we compare the strengths and weaknesses of various methodologies that can be used for quantitative assessment: panel analysis based on growth theory, input-output analysis, social account matrix analysis, CGE model, DSGE model, and time series analysis. Using the input-output analysis, we estimate that total output and value added have been generated about $5.9 billion and $1.7 billion in Vietnam, respectively. The increase in income per capita from the support was estimated to have contributed to a 0.21%p reduction in the poverty rate in Vietnam.

Observer-Based Output Feedback Stochastic Stabilization for T-S Fuzzy Systems with Input Delay (입력지연을 갖는 T-S 퍼지 시스템의 관측기기반 출력궤환 확률적 안정화)

  • Lee, Sang In;Park, Jin Bae;Joo, Young Hoon
    • Journal of the Korean Institute of Intelligent Systems
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    • v.14 no.3
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    • pp.298-303
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    • 2004
  • This paper deals with a stochastic stabilization of observer-based output-feedback control Takagi-Sugeno (T-S) fuzzy system with Markovian input delay. The finite Markovian process is adopted to model the input delay of the overall control system. It is assumed that the zero and hold devices are used for control input. The continuous-time T-S fuzzy system with the Markovian input delay is discretized for easy handling delay, accordingly, the discretized T-S fuzzy system is represented by a discrete-time T-S fuzzy system with jumping parameters. The stochastic stabilizability of the jump T-S fuzzy system is derived and formulated in terms of linear matrix inequalities (LMIs). The usefulness of the proposed algorithm is also certificated by simulation of 2 degree of freedom helicopter model.

Efficiency Evaluation of Welfare Facilities for the Elderly Applying AHP and DEA Techniques

  • Lee, Dong Su;Chang, In Hong
    • Journal of Integrative Natural Science
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    • v.8 no.4
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    • pp.293-304
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    • 2015
  • This study examined the factors which have influence on the welfare facilities for the elderly and analyzes their efficiency. It investigated theoretical studies and preceding studies and divided the efficiency evaluation factors into input and output factors. Input factors included budget, the number of workers and clients and facility area and output factors were operation management, the number of clients, profitability and welfare for the elderly. To sum up the analysis results of evaluation factors of welfare facilities for the elderly, the analysis of relative importance of input showed that budget was most important. As a result of analyzing the relative importance among detailed items, balance sheet and professional manpower were highest. Input factors by facility types showed that the budget for utility facilities and living facilities were highest. In output factors, utility facilities and living facilities were highest in management systematization and welfare for the elderly, respectively. In efficiency evaluation, utility facilities for the elderly showed 100% of efficiency in CCR and BCC models. In welfare facilities for the elderly, while CCR model showed 100% of efficiency in facility types A, C, D, and F, the efficiency was low in facility B (79.89%), E (77.14%), and G (80.72%). In BCC model, facility E was low as 78.69%. In efficiency comparison between utility facilities and living facilities for the elderly welfare, the efficiency of utility facilities for the elderly welfare was higher. Therefore, this study investigated the efficiency of welfare facilities for the elderly as its main purpose and presented policy suggestions based on the research results as the alternative.

Design of digital clock level translator with 50% duty ratio from small sinusoidal input (작은 정현파입력의 50% Duty Ratio 디지털 클럭레벨 변환기 설계)

  • Park, Mun-Yang;Lee, Jong-Ryul;Kim, Ook;Song, Won-Chul;Kim, Kyung-Soo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.23 no.8
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    • pp.2064-2071
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    • 1998
  • A new digital clock level translator has been designed in order to produce a clock source of the internal logic circuits. The translator output has 50% duty ratio from small sinusoidal input such as TCXO which oscillates itself in poratable components. The circuit consists of positive and negative comparators, RS latch, charge pump, and reference vol- tage generator. It detects pulse width of the output waveform and feedbacks the control signal to the input com-parator. It detects pulse width of the output waveform and feedbacks the control signal to the input com-parator reference, producing output waveform with valid 50% duty ratio of the digital signal level. The designed level translator can be used as a sampling clock source of ADC, PLL and the colck source of the clock synthesizer. The circuit wasdesigned in a 0.8.mu.m analog CMOS technology with double metal, double poly, and BSIM3 circuit simulation model. From our experimental results, a stable operating characteristics of 50 +3% duty ratio was obtained from the sinusoidal input wave of 370 mV.

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Robust Tracking Control of a Ball and Beam System using Optimal Bang-Bang Input (최적의 Bang-Bang 입력을 이용한 볼-빔 시스템의 강인한 추적 제어)

  • Lee, Kyung-Tae;Choi, Ho-Lim
    • Journal of IKEEE
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    • v.22 no.1
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    • pp.110-120
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    • 2018
  • In this paper, we apply the input-output linearization technique to tracking the follow-up trajectory r(t) in the ball-beam system. There exist system disturbance and various uncertainties, the conventional input-output linearization based control yields some noticeable errors in tracking performance. As a result, a new robust control technique for the uncertainty of the system was proposed and its improved performance verified through simulation and experimental results. So, more realistic system model is obtained with unmatched uncertainties and disturbance. Then, in order to improve the control performance, a new optimal bang-bang control input is additionally added.

A Precision Control of Wheeled Mobile Robots Using Neural Network (신경회로망을 이용한 이동로봇의 정밀 제어)

  • Kim, Moo-Jon;Lee, Young-Jin;Park, Sung-Jun;Lee, Man-Hyung
    • Journal of Institute of Control, Robotics and Systems
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    • v.6 no.8
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    • pp.689-696
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    • 2000
  • In this paper we propose an eminent controller for wheeled mobile robots. This controller consists of an input-output linearization controller trying to stabilize the system and a neural network controller to compensate for uncertainties. The uncertainties are divided into two parts. First unstructured uncertainties include the elements related with system order such as friction disturbance. Second structure uncertainties are the incorrect system parameters A neural network structure of the proposed overall controller learns structural errors of the wheeled mobile robots with uncertainties and includes the neural network output. This controller learns quickly the model and has good tracking performance Simulation results show that the proposed controller is more efficient than analog controllers.

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