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Analysis of FLC with Changing Fuzzy Variables in Frequency Domain
최한수,이경웅 제어·로봇·시스템학회 2010 International Journal of Control, Automation, and Vol.8 No.3
This paper discusses a simple method for analyzing FLC in frequency domain based on describing function. Since nonlinear characteristics of FLC make it difficult FLC analysis, it usually requires a big deal of trial-and-error procedures based on computer simulation. The proposed method is simple and easy to understand, because it is based on the Nyquist stability criterion used to analyze absolute and relative stability, phase and gain margin of a linear system. To linearize in frequency domain, a describing function for FLC is derived by using a piecewise linearization of the FLC response plot. This describing function is represented as a function of magnitude of input sinusoid and nonlinear pa-rameters and which change consequence fuzzy variables and nonlinearity of FLC. The de-scribing function is redefined without the magnitude of sinusoid input because maximum values of the describing function can explain the stability of the system. This redefined describing function is used to get minimum stability characteristic, an absolute stability, phase margin and gain margin, of FLC. Using this function, we can explicitly figure out various characteristic of FLC according to and in frequency domain. In this work, we suggest a minimum phase margin (MPM) and a minimum gain margin (MGM) for FLC which can be used to determine whether the system is stable or not and how stable it is. For simplicity, we use one-input FLC with three rules. For various nonlinear response of FLC, changing fuzzy variables of a consequence membership function is used. Simulation results show that these parameters are effective in analyzing FLC.
서울 관악구 도심지역 미세먼지(PM<sub>10</sub>) 관측 값을 활용한 딥러닝 기반의 농도변동 예측
최한수,강명주,김용철,최한나,Choi, Han-Soo,Kang, Myungjoo,Kim, Yong Cheol,Choi, Hanna 한국지하수토양환경학회 2020 지하수토양환경 Vol.25 No.3
Since fine dust (PM<sub>10</sub>) has a significant influence on soil and groundwater composition during dry and wet deposition processes, it is of a vital importance to understand the fate and transport of aerosol in geological environments. Fine dust is formed after the chemical reaction of several precursors, typically observed in short intervals within a few hours. In this study, deep learning approach was applied to predict the fate of fine dust in an urban area. Deep learning training was performed by combining convolutional neural network (CNN) and recurrent neural network (RNN) techniques. The PM<sub>10</sub> concentration after 1 hour was predicted based on three-hour data by setting SO<sub>2</sub>, CO, O<sub>3</sub>, NO<sub>2</sub>, and PM<sub>10</sub> as training data. The obtained coefficient of determination value, R<sup>2</sup>, was 0.8973 between predicted and measured values for the entire concentration range of PM<sub>10</sub>, suggesting deep learning method can be developed into a reliable and viable tool for prediction of fine dust concentration.
최한수 건국대학교 1992 學術誌 Vol.36 No.1
In discussing the function of the political party, the common weakness of many scholars has been the neglect to define the term 'function' specifically. The aim of this paper is to I) define the term 'function' specifically 2) review the existing classification of the party- function 3) reclassify the party- function according to the specific definition of the term 'fuction'. In this paper, my approach closer to define the term 'function' is Howard A. Scarrow's vewpoint. Since my definition of the function is "the positive consequence raised by activity", then the party- function refers to the positive consequence raised by activity on the ground of the nature of political party. According to above definition, which may not be unique or absolute, the party- functions can be classified as follows ; 1.Interest articulation and aggregation 2.Mediation of social conflict 3.Political socialyzation 4.Promotion of political participation 5.Recuritment of political elite 6.Preservation of political system 7.Political agenda setting
崔漢秀 건국대학교 1984 論文集 Vol.18 No.1
Korean political parties ordinate from the Independence party in the 1890's. However, It was about to develop as a modern political party, Korea was under colonial rule of Japan from 1910 to 1945. This delayed the formation of Korea's modern political parties be until the 1945 liberation from Japan. The there came out diverse political parties. Their ideologe's were the Right-wing, eft wing or middle of the road. Being established the Government in 1948, the Government prohibited the left-wing political croups from doing their political activites. And thereby middle of the road of political parties also came to he disappeared. Another characteristic of the formation of Korea's modern political parties is that they were organized by only a few politicians. In this sense, Korea's initial political parties can he characterized as a "Cadre party" or a "personality party". Most leaders of Korea's political parties were bestowed with prestige not by electionsbut by their avtivites for the independence movement. Korean political parties were not characteristic of mass party and a party for people's interests. This laid political cultural heritage burught political parties to functioning only as a means of extreme struggling for gaining political power, to struggle extremely betwen ruling and opposition parties.
최한수,정창규,정헌 조선대학교 에너지.자원신기술연구소 1997 에너지·자원신기술연구소 논문지 Vol.19 No.2
Fuzzy controller consists of rule base, membership function, fuzzy inference, defuzzification and I/O scaling factors. Performance of fuzzy controller depends on design method of then parameters. Especially, I/O scaling factor effects directory on the performance of fuzzy controller, but get out those value can not be obtained with more systemical method. A method of I/O scaling factor design for fuzzy controller is proposed in this paper. The proposed method is for nonlinear input scaling factor and variable output scaling factor. Purpose of this research is to make a control system have faster rising time, a smaller overshoot and a shorter settling time. Proposed fuzzy controller is evaluated by computer simulation on the 1st order and 2nd order process with various I/O scaling factors, and satisfactory results showed.