• Journal of Korean Society of Transportation
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• v.26 no.4
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• pp.111-121
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• 2008

Using variable speed limits (VSL) is a key strategy for preventing traffic accidents and alleviating traffic congestion. This study proposes an algorithm to operate VSLs on freeways for traffic safety. The proposed algorithm consists of two components based on accident likelihood estimation and analysis of safe stopping distance under various environmental conditions. A binary logistic regression technique is used for estimating accident likelihood. It is expected that the proposed algorithm would be successfully applied in practice in support of an integrated traffic and environmental condition monitoring system. Technical issues associated with the field implementation are also discussed.

• Proceedings of the KIEE Conference
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• 1998.11b
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• pp.469-471
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• 1998

이논문은 입력과 상태변수에 제한조건이 있는 이산형 불확실 선형 시스템을 위한 강인한 이동구간 제어기를 제시한다. 모델 변수는 콘벡스 집합에 속하는 불확실성 성질을 갖는다. 제안된 이동구간 제어기는 터미널 가중치 행렬들과 입력과 상태변수의 제한조건을 가지는 최악의 일단계 목적함수의 최소화에 기초한다. 제안된 이동구간 제어기는 위의 불확실한 시스템을 일정한 터미널 가중치 행렬에 대한 행렬 부등식 조건하에서 안정화 시킬수 있다는 것을 보인다. 이 강인 이동구간 제어기는 기존의 무한 구간 강인 이동구간 제어기보다 같은 설계 조건하에서 보다 더 일반적인 구조와 더 큰 간으한 초기 상태 영역을 갖는다. 이 제시된 이동구간 제어기는 반한정 프로그래밍을 이용하여 얻어진다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.1
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• pp.9-16
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• 2018

Predictive control is a very practical method that obtain the current input that minimizes the future errors of the reference command and state by use of the predictive model of the controlled object, and can also consider the constraints of the state and input. Although there have been studies in which predictive control is applied to mobile robots, performance has not been optimized as various control parameters for determining control performance have been arbitrarily specified. In this paper, we apply the genetic algorithm to the trajectory tracking control of a mobile robot with input constraints in order to minimize the trajectory tracking errors through control parameter tuning, and apply the quadratic programming Hildreth method to reflect the input constraints. Through the computer simulation, the superiority of the proposed method is confirmed by comparing with the existing method.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2009.04a
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• pp.101-104
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• 2009

최적설계는 설계자가 요구하는 제한조건을 만족시키는 범위에서 목적함수가 최소가 되는 설계점을 찾는 방법이다. 그러나 기존의 최적설계는 불확실성의 영향을 고려하지 않아 최적해가 제한조건의 경계에 위치하고 이것은 모델링과정이나 가공 등으로 인한 오차에 대한 영향을 고려하지 않는 문제점이 있다. 신뢰성 기반 최적설계는 불확실성을 정량화하면서 신뢰도를 계산하는 신뢰도 해석과정과 최적설계과정을 포함한다. 일반적으로 신뢰성 해석은 크게 추출법, 급속 확률 적분법, 모멘트 기반 신뢰성해석이 있다. 가장 널리 사용되는 급속 확률 적분법 중 최대 손상 가능점(MPP) 방법은 많은 MPP점이 존재하는 경우 수치적 비용이 증가하는 문제점과 표준 정규분포 공간으로 변환하는 과정에서 제한조건의 비선형성을 증가시켜 큰 오차를 발생시키는 문제점이 있다. 본 논문에서는 RBDO를 수행하기에 앞서 선행되어야 할 신뢰성해석 방법으로 곱분해기법을 사용하였고 이로부터 민감도 정보를 유도하여 기울기 기반 최적화 알고리즘을 적용하였다.

• Journal of the Institute of Convergence Signal Processing
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• v.2 no.4
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• pp.77-84
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• 2001

Since Hopfield introduced the neural network for liner programming problems many papers have been published about it and some of them are about nonlinear programming problems Therefore nonlinear, cost function problem has been solved however nonlinear constraints problem has not been solved In this paper I have proposed the general nonlinear programming neural networks which minimize cost function with nonlinear constraints.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.48 no.3
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• pp.1-5
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• 2011

In this thesis, we have developed novel geometrical analysis method for the double constraints linear constraint minimum variance (LCMV) beamforming algorithm. The proposed analysis method was matched well with the computer simulation result.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.40 no.6
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• pp.587-593
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• 2016

Reliability-based design optimization (RBDO) requires a high computational cost owing to its reliability analysis. A surrogate model is introduced to reduce the computational cost in RBDO. The accuracy of the reliability depends on the accuracy of the surrogate model of constraint boundaries in the surrogated-model-based RBDO. In earlier researches, constraint boundary sampling (CBS) was proposed to approximate accurately the boundaries of constraints by locating sample points on the boundaries of constraints. However, because CBS uses sample points on all constraint boundaries, it creates superfluous sample points. In this paper, efficient constraint boundary sampling (ECBS) is proposed to enhance the efficiency of CBS. ECBS uses the statistical information of a kriging surrogate model to locate sample points on or near the RBDO solution. The efficiency of ECBS is verified by mathematical examples.

• Korean Journal of Food Science and Technology
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• v.25 no.5
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• pp.481-486
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• 1993

A computeized least-cost formulation program was applied to process emulsion-type sausages. The input data in formulation were utilized with the database which had been established in the previous study. The formulation results may provide Korean meat processors with actual examples. Meat-grade system made these examples more useful. The results of manufacturing test were as follows. The actual cohesiveness from manufactured sausages didn't correspond to the predicted values, but increased as the predicted values increased. These gabs caused by the different processing conditions between the model system and the actual processing. Hardness as well as cohesiveness could be used as the desirable index of a sausage texture. Comparing the cohesiveness and hardness of commercial frankfurters with those of test sausages, bind value constraint of $0.16{\sim}0.17$ in this test formula can be utilized for an actual formulation.

• Korean Journal of Optics and Photonics
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• v.12 no.2
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• pp.109-114
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• 2001

Optical system has some optical and mechanical constraints. The constraints should be preserved in optimization of optical system. For the purpose, the constraints are combined with the merit function by using Lagrange's undetermined multipliers. We propose an active optimization control by using the fact that the errors of constraints are corrected with higher priority than the other errors of the merit function. In this control, the errors which have large contribution to the merit function are converted into constraints. At that time, if the errors are corrected at once, the optimization will be unstable because of their non-linearity. Hence we introduce a target rate which represents a fraction of error to be corrected, and the errors are corrected progressively. An optimization program was developed on the bases of the proposed active control, and applied to design a photographic lens system. By using the active control, we could get better results compared with conventional damped least squares method. ethod.

• Proceedings of the KIPE Conference
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• 2000.07a
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• pp.191-194
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• 2000

기존의 약계자영역에서의 유도전동기의 고정자자속 기준제어방법은 고정자기준자속을 회전자의 회전속도에 반비례해서 저감시키는 것이다 본 논문에서는 이러한 기존의 방법에 의해서는 최대토크를 얻지 못함을 보이고 최대토크를 얻기 위하여 전압제한조건 토크제한조건 및 전류제한조건을 고려한 새로운 고정자기준자속 선정방법을 제안한다.