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재정비구역 주민들의 주거선호요인에 관한 연구 - 청주시 사례를 중심으로 -
장용훈,김동호,황희연,Jang, Yong-Hoon,Kim, Dong-Ho,Hwang, Hee-Yun 한국주거학회 2009 한국주거학회 논문집 Vol.20 No.4
Established redevelopment and reconstruction projects were unified into one law in 2003 when the 'Act of Urban, Residential and Environment Improvement' was enacted. However, the act only focused on the improvement of the physical state of residential environments established by maintenance projects. In order to be effective, the law also needs to improve the nonphysical aspects of the residential environment. While conducting our research and comparing it with past research, we identified the major factors of residential preferences in order to extract and analyze the nonphysical state of residential environments. As a result, we found that social and economic factors are significantly more important to residents than cultural factors. Also, we found that in each district studied the housing preferences were the most important in redevelopment and reconstruction with the exception of Sangdang-Gu (where the community was the most important factor) and Hungduk-Gu (where the social factor was most important). For future purposes, it is necessary to consider the variables according to each location in order to reflect the needs of the residents when building an apartment complex within the redevelopment and reconstruction district.
연속시간 다항식 퍼지 시스템을 위한 강인한 H<sub>∞</sub> 외란 감쇠 제어
장용훈,김한솔,주영훈,박진배,Jang, Yong Hoon,Kim, Han Sol,Joo, Young Hoon,Park, Jin Bae 제어로봇시스템학회 2016 제어·로봇·시스템학회 논문지 Vol.22 No.6
This paper introduces a stabilization condition for polynomial fuzzy systems that guarantees $H_{\infty}$ performance under the imperfect premise matching. An $H_{\infty}$ control of polynomial fuzzy systems attenuates the effect of external disturbance. Under the imperfect premise matching, a polynomial fuzzy model and controller do not share the same membership functions. Therefore, a polynomial fuzzy controller has an enhanced design flexibility and inherent robustness to handle parameter uncertainties. In this paper, the stabilization conditions are derived from the polynomial Lyapunov function and numerically solved by the sum-of-squares (SOS) method. A simulation example and comparison of the performance are provided to verify the stability analysis results and demonstrate the effectiveness of the proposed stabilization conditions.
연속시간 다항식 퍼지 시스템을 위한 강인한 H<SUB>∞</SUB> 외란 감쇠 제어
장용훈(Yong Hoon Jang),김한솔(Han Sol Kim),주영훈(Young Hoon Joo),박진배(Jin Bae Park) 제어로봇시스템학회 2016 제어·로봇·시스템학회 논문지 Vol.22 No.6
This paper introduces a stabilization condition for polynomial fuzzy systems that guarantees H∞ performance under the imperfect premise matching. An H∞ control of polynomial fuzzy systems attenuates the effect of external disturbance. Under the imperfect premise matching, a polynomial fuzzy model and controller do not share the same membership functions. Therefore, a polynomial fuzzy controller has an enhanced design flexibility and inherent robustness to handle parameter uncertainties. In this paper, the stabilization conditions are derived from the polynomial Lyapunov function and numerically solved by the sum-of-squares (SOS) method. A simulation example and comparison of the performance are provided to verify the stability analysis results and demonstrate the effectiveness of the proposed stabilization conditions.