• Journal of Korean Society for Geospatial Information Science
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• v.16 no.4
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• pp.79-87
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• 2008

There has been a strong demand for low altitude UAV development in rapid mapping not only to acquire high resolution image with much more low cost and weather independent, compared to satellite surveying or traditional aerial surveying, but also to meet many needs of the aerial photogrammetry. Especially, efficient geocoding of UAV imagery is the key issue. Contrary to high UAV potential for civilian applications, the technology development in photogrammetry for example direct georeferencing is in the early stage and it requires further research and additional technical development. In this study, two approaches are supposed for automatic geocoding of UAV still images by simple affine transformation and block adjustment of affine transformation using minimal ground control points and also evaluated the applicability and quality of geometric model compared to geocoded images generated by commercial S/W.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.3
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• pp.337-342
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• 2009

This paper concerns delay-range-dependent robust stability and stabilization for time-delay nonliner system via T-S fuzzy model approach. The time delay is assumed to be a time-varying continuous function belonging to a given range. On the basis of a novel Lyapunov-Krasovskii functional, which includes the information of the range, delay-range-dependent stability criteria are established in terms of linear matrix inequality. It is shown that the new criteria can provide less conservative results than some existing ones. Moreover, the stability criteria are also used to design the stabilizing state-feedback controllers. Numerical examples are given to demonstrate the applicability of the proposed approach.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.5
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• pp.451-456
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• 2015

In this paper, an observer-based decentralized fuzzy controller is designed for discrete-time interconnected fuzzy systems. Based on the fuzzy subsystem of the interconnected fuzzy system, the observer-based decentralized fuzzy controller is considered. By using the fuzzy subsystem and the observer-based decentralized fuzzy controller, the closed-loop system is obtained. From the closed-loop system, the stability condition with the maximum interconnection bound is developed, and its sufficient condition is represented as the linear matrix inequality (LMI). Finally, the numerical example is provided to verify the effectiveness of the proposed technique.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.2
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• pp.185-190
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• 2009

In this paper, an observer-based intelligent controller for the nonlinear networked control systems with packet loss is proposed for wireless sensor network. For the intelligent control of the nonlinear system, it uses the fuzzy system with Takagi-Sugeno (T-S) fuzzy model. The observer is designed for the fuzzy networked control system, and the output feedback controller is proposed for the stability of estimates and errors. The stability condition of the closed-loop system with the proposed controller is represented to the linear matrix inequality (LMI) form, and the observer and control gain are obtained by LMI. An example is given to show the verification discussed throughout the paper.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.2
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• pp.138-143
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• 2006

This paper presents intelligent digital redesign method for hybrid state space fuzzy-model-based controllers. For effectiveness and stabilization of continuous-time uncertain nonlinear systems under discrete-time controller, Takagi-Sugeno(TS) fuzzy model is used to represent the complex system. And global approach design problems viewed as a convex optimization problem that we minimize the error of the norm bounds between nonlinearly interpolated linear operators to be matched. Also, by using the bilinear and inverse bilinear approximation method, we analyzed nonlinear system's uncertain parts more precisely. When a sampling period is sufficiently small, the conversion of a continuous-time structured uncertain nonlinear system to an equivalent discrete-time system have proper reason. Sufficiently conditions for the global state-matching of the digitally controlled system are formulated in terms of linear matrix inequalities (LMIs). Finally, a TS fuzzy model for the chaotic Lorentz system is used as an . example to guarantee the stability and effectiveness of the proposed method.

• Journal of Advanced Navigation Technology
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• v.22 no.4
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• pp.325-335
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• 2018

Limited access to state information in the design of a feedback controller has brought out a significant amount of research on the design of an output feedback controller. Despite its long endeavor to find an optimal one, it is still an open problem. Thus, we focus on the comparison of existing states of arts in the design of a static output feedback controller in terms of stability and complexity so as to find further research direction in this field. To this end, we present eight design methods in a unified presentation. We also provide the complete description of algorithms which can be applicable to any system configuration. Stability performance and complexity in terms of processing time are evaluated through numerical simulations. Simulation results show that the algebraic controller (AC) algorithm [20] has the smallest complexity while the scaling linear matrix inequality (SLMI) algorithm [18] seems to achieve the best stability in most cases with much higher complexity.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.3
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• pp.372-377
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• 2011

This paper propose the robust stability algorithm for controlling a hybrid magnetic bearing system. The control object in the magnetic bearing system enables the rotor to rotate without any physical contact by using magnetic force. Generally, the system dynamics of the magnetic bearing system has severe nonlinearity and uncertainty so that it is not easy to obtain the control objective. For solving these problems, we propose the fuzzy modelling and robust control algorithm for hybrind magnetic bearing system. The sufficient conditions for robust controller are obtained in terms of solutions to linear matrix inequalities (LMIs). Simulation results for HMB are demonstrated to visualize the feasibility of the proposed method.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.8 no.2
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• pp.123-133
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• 2010

A statistical evaluation methodology was developed to determine the compliance of candidate waste stream with clearance criteria based upon distribution of radionuclide in a waste stream at a certain confidence level. For the cases where any information on the radionuclide distribution is not available, the relation between arithmetic mean of radioactivity concentration and its acceptable maximum standard deviation was demonstrated by applying widely-known Markov Inequality and One-side Chebyshev Inequality. The relations between arithmetic mean and its acceptable maximum standard deviation were newly derived for normally or lognormally distributed radionuclide in a waste stream, using probability density function, cumulative density function, and other statistical relations. The evaluation methodology was tested for a representative case at 95% of confidence level and 100 Bq/g of clearance level of radioactivity concentration, and then the acceptable range of standard deviation at a given arithmetic mean was quantitatively shown and compared, by varying the type of radionuclide distribution. Furthermore, it was statistically demonstrated that the allowable range of clearance can be expanded, even at the same confidence level, if information on the radionuclide distribution is available.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.265-265
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• 2022

유량조사는 측선수, 측정시간, 측정위치, 측정방법 등 많은 기준이 있으며 이를 잘 준수하는 것이 높은 품질의 유량측정 성과를 확보하는 방법이다. 그러나 이러한 기본적인 기준을 잘 준수하더라도 현장 상황에 따라 유량측정 성과에 오차가 포함 될 수 있다. 본 연구에서는 상류 소수력발전소의 방류량에 따라 유량이 변화하고 수위관측소 부근에 큰 저류공간이 있는 현장 여건이 유량측정성과에 어떠한 영향을 끼치는지 검토하였다. 홍천군(주음치교) 관측소는 홍천강 상류에 위치하며 소수력발전소의 운영에 따라 관측소를 흘러가며 그 유량이 소수력발전소의 영향으로 점변한다. 일반적으로 이러한 경우 측정시간을 최대한 짧게 가져가 유량자료의 정확도를 확보한다. 하지만 홍천군(주음치교)의 경우 수위관측소 주변에 큰 저류공간이 있어 이를 동시에 고려해야 하며 단순하게 측정시간을 짧게 하는 것만으로는 측정성과의 품질을 확보 할 수 없다. 왜냐하면 이 저류 공간으로 물이 유입되는 시간동안은 수위관측소의 수위 상승은 미미하지만 하천 유량은 증가하는 부등류가 발생한다. 유량측정은 등류가정에 의한 것으로 수위관측소 주변이 부등류가 발생하면 유량측정 성과에 큰 오류가 나타나기도 한다. 홍천군(주음치교)에서 현장 상황이 등류일 때와 부등류일 때 모두 측정을 실시하였으며 그 차이를 확인하였다. 저류공간의 물 유입이나 유출이 없는, 즉 등류 상태의 유량측정 성과는 수위-유량관계식과 2.86%차이를 보였으며 부등류 상태의 유량측정 성과는 19.85%차이를 보여 큰 차이를 보였다(기준수위 0.49m). 또한 소수력발전소 운영에 따라 유량 상승 시에는 수위-유량관계곡선식 대비하야 양(+)의 편차율이 발생하고, 유량이 하강 시에는 수위-유량관곡선식 대비 음(-)의 편차율 발생하는 것으로 나타났다. 소수력 발전소는 동절기를 제외한 상시 운영으로 홍천군(주음치교) 관측소의 정확한 수위-유량관계식을 확인하기 위하여 소수력 발전소 운영을 중단하고 측정을 실시하였으며 유량변동을 멈추고, 즉 등류 흐름에서 측정한 성과는 수위-유량관계식과 차이가 1.06% 불과한 것으로 나타났다. 수문조사는 측선수, 측정시간, 측점수 등 많은 기준이 있다. 그러나 이러한 측정기준과는 별개로 현장은 다양한 조건이 발생하며 측정성과의 정확도에 영향을 끼치는 경우가 발생하기도 한다. 따라서 유량측정 기준을 잘 준수하는 것도 중요하지만 현장상황을 파악하고 이에 적절한 유량측정을 실시해야 그 오차를 최소화 할 수 있다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.11a
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• pp.411-414
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• 2007

본 논문은 뉴트럴 타입 시간 지연을 갖는 네트워크 시스템의 안정도 분석 및 퍼지 제어기 설계에 대해서 논의한다. 먼저 대상이 되는 네트워크 시스템은 TS (Takagi-Sugeno: T-S) 퍼지 모델로 표현 되어진다. 리아프노프-크라조브스키의 안정도 이론을 이용하여 뉴트럴 형태의 시간 지연을 갖는 퍼지 시스템의 안정도를 판별한다. 퍼지 시스템의 안정도 조건을 시간 지연에 종속적인 충분조건으로 제시하고 선형 행렬 부등식의 형태로 표현한다. 선형 행렬 부동식의 해를 구하고 이를 바탕으로 퍼지 제어기의 이득값을 설계한다. 제안된 방법의 효율성과 가능성을 보여주기 위해 한 예제를 포함한다.