• 대한전기학회:학술대회논문집
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• 대한전기학회 1996년도 추계학술대회 논문집 학회본부
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• pp.42-45
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• 1996

This paper presents a solution of the $H_{\infty}$ control problem for linear systems with input time delay. $H_{\infty}$ norm bounded condition is obtained as a sufficient condition for linear systems with input time delay. Based upon this sufficient condition, an $H_{\infty}$ controller design method which involves the solutions of linear matrix inequalities via convex optimization is developed.

• 한국수학교육학회지시리즈B:순수및응용수학
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• 제7권2호
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• pp.101-113
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• 2000

In this paper, we study controllability of nonlinear delay parabolic equa-tions with nonlocal initial condition under boundary input.

• 한국안전학회지
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• 제19권3호
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• pp.14-19
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• 2004

The objective of the present work is to examine evaporation cooling of droplet due to surface roughness under radiative heat input condition. The surface temperatures varied from $80\~160^{\circ}C$ on aluminum alloy (AL 2024) and surface roughness was $0.18{\mu}m,\;1.36{\mu}m$. The results are as follows; Regardless of surface roughness under radiative heat input condition, as droplet diameter is larger, the in-depth temperature of solid decreases and evaporation time increases. In the case of $0.18{\mu}m\;and\;1.36{\mu}m$ of surface roughness, the larger the surface roughness is, the less the evaporation time is and the larger the temperature within the solid is. In the case of $Ra=0.18{\mu}m$ evaporation time and time averaged heat flux for radiative heat input case is shorter than for the conductive case.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2004년도 춘계학술대회 논문집
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• pp.3-8
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• 2004

When most manufacturing company produce grinding product operators decide grinding condition by experience and subjective judgment. The study on grinding manufacture have been developed to get the grinding condition with the same result when non-experienced or experienced worker work. The objective of this study is to develope the grinding condition and predict the result of grinding by neural network. Several discussions were made in following areas as; getting MRR with image processing, the architecture optimization of neural network with experiment design, analysis of the input neurons using sensitivity approach. The results showed that the developed approach was the best method in predicting grinding condition with respect to surface finish quality.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 1998년도 봄 학술발표회 논문집
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• pp.390-397
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• 1998

An approach to identifying input forces is proposed using measured structural dynamic responses and its analytical model. The identification of input forces is a reverse process and ill-conditioned problem. Its solution is unstable and generally case dependent. In this paper, the ill-condition is described considering characteristic matrix which is defined by reduced dynamic stiffness matrix. Special attention is focused on the condition number of a characteristic matrix used in the solution algorithm of this reverse process. Simple example is presented in support of the ill-condition of a reverse process.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.25-29
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• 2003

LQ actuator selection problem for multi-input system discussed in this paper is to determine optimal actuator out of many actuators and input sequences so as to minimize the quadratic control performance. The solution of this problem depends on initial values and has a combinatorial property, so it is extremely difficult to get an optimal solution. For this difficulty, we proposed the concept of comparability of actuators and showed the uniqueness of the solution[1] . Further, to get general optimal solution for LQ problem with actuator selection strategies, we derived the equivalent condition for the comparability of actuator in single-input system . In this paper we extend this result to the case of multi-input system. The derived sufficient condition is applicable in the case of positive semi-definite comparability matrices.

• 대한전기학회논문지
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• 제38권2호
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• pp.127-136
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• 1989

This paper describes the parameter convergence properties of an adaptive system to identify a single-input single-output plant model. It is demonstrated that, by using power spectrum analysis, the persistency of excitation (PE) condition in order to guarantee the exponential stability of the adaptive control system can be transformed into the positive definite behavior for the auto-correlation function matrix of adaptive signal. The existence of parameter nominal values can be analyzed by this condition and the convergence rates of parameter are determined by examining the auto-correlation function. We may use the sufficient richness (SR) of input spectrum instead of the PE condition to analyze the parameter boundedness. It can be shown that the eigen values of the auto-correlation function are always related with adaptive gain, input amplitude and positions or numbers of input spectra. In each case, the variation of parameter convergence rate can be also verified.

• 유기물자원화
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• 제31권4호
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• pp.41-49
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• 2023

본 연구는 주입 기질 농도에 따른 미생물전기분해전지 (Microbial electrolysis cell, MEC)의 운전성능을 조사하였다. 주입 기질 농도에 따른 MEC의 운전 성능을 비교하기 위해 6 개의 실험실 규모 MEC를 2, 4, 6 g/L Sodium acetate 조건으로 순서대로 주입 농도를 증가시켜 운전하였다. 전류밀도, 수소 생산량, SCOD 제거율을 분석하였고, 에너지 효율, cathodic hydrogen recovery를 계산하여 주입 기질 농도 별 MEC의 운전성능을 비교하였다. 체적 전류밀도는 4 g/L 조건에서 76.3 A/m³였고, 6 g/L로 주입 농도를 증가시켰을 때 19.0 A/m³로 4 g/L 주입 조건에 비해 75% 감소하였다. 수소 생산량은 4 g/L 주입 조건이 47.3 ± 16.8 mL로 가장 높았으나 수소 수율은 2 g/L 주입 조건이 1.1 L H₂/g COD_in로 가장 높았다. 에너지 효율 역시 2 g/L 조건에서 가장 높았고, 6 g/L 조건에서 가장 낮은 결과를 보여주었다. 최대 전기에너지 효율은 76.4%였으며, 2 g/L 조건에서 최대 전체에너지 효율은 39.7%였다. 그러나 기질 농도가 6 g/L로 증가하였을 때, 성능이 급격히 감소하였다. Cathodic hydrogen recovery 역시 에너지 효율과 유사한 경향을 보였으며, 가장 낮은 농도 조건에서 가장 높은 성능을 보여주었다. 따라서 MEC 운전에 있어서 SCOD 제거율뿐만 아니라 에너지 효율 등을 고려한 최적 운전을 위해서는 낮은 주입 농도 조건에서 운전하는 것이 바람직할 것으로 판단된다.

• Transactions on Control, Automation and Systems Engineering
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• 제4권3호
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• pp.195-198
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• 2002

In this note, we suggest a new matching condition and extend the stability analysis to the ultimate boundness of state $\chi$(t) for uncertain input-delay systems, using a sliding control with delay compensation.

• International Journal of Control, Automation, and Systems
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• 제3권1호
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• pp.117-121
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• 2005

This paper deals with the state estimation of linear time-invariant discrete systems with unknown inputs. The forward sequences of the output are treated as additional outputs. In this case, the rank condition for designing the unknown input estimator is relaxed. The gain for minimal estimation error variance is presented, and a numerical example is given to verify the proposed unknown input estimator.