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김세찬,최영길,이한석 부천대학 2000 論文集 Vol.21 No.-
This paper presents a new algorithm for two level optimal control to non-linear systems. The proposed method is simple because the solutions are obtained by only exchaging informations of coefficient vector based on interaction prediction principle and Walsh Transformation in upper and lower level. Since we solve two point boundary problem with backward integral operational matrix of Walsh Function to obtain the optimal vector of each independent subsystem, we can reduce more operational burden than conventional numerical method. In simulation, the proposed algorithm's usefulness is proved by comparison with global optimal control methods.
金世澯,元忠淵 成均館大學校 科學技術硏究所 1995 論文集 Vol.46 No.1
The neural network control can roughly be classified as the direct control and indirect control schemes. When using direct control scheme, there is need to know the Jacobian of plant. However when the plant is ill-defined, we can not get Jacobian of plant. Rather than using the direct control scheme, an indirect control scheme is alternative. This scheme is applicable even when the plant is ill-defined. but this scheme requires two neural network : namely Neural Network Controller and Neural Network Emulator. In this study indirect control scheme is adopted for Induction Motor speed control. A back propagation algorithm is used to train neural network controller and. emulator. The simulation results show that this neural network system can provide good dynamical responses.
김세찬 부천대학 1997 論文集 Vol.18 No.-
PI(proportional-integral) controller has been extensively used in the industrial world. But in this controller it is difficult to tune PI gains. Evolution Strategy is used as an effective search algorithm in optimization programs. In this paper we propose a PI controller for DC motor position control using Evolution Strategy with varying search space. Evolution Strategy with varying search space which depends on fitness values at each generation is used to tune PI control parameters. Simulation result show the proposed algorithm has accurate and robust performance with effective search ability.
김세찬 부천대학 1996 論文集 Vol.17 No.-
The Fuzzy-Neural Controller is constructed to resolve some difficulties taking place in decision of membership functions, input gains and an inference method for designing fuzzy logic controller. In addition Neural network emulator is used to emulate induction motor forward dynamics and to get error signal at fuzzy-neural controller output layer. Error signal is backpropagated through neural network emulator. A back propagation algorithm is used to train fuzzy-neural controller and emulator. The experimental results show that this control system can provide good dynamical responses.
김세찬,황효정,이준기 한국영재학회 2022 영재교육연구 Vol.32 No.3
본 연구는 국내 초등학생들이 인식하고 있는 영재학생에 대한 이미지를 메타포 분석을 통해 질적으로 탐색한 연구이다. 연구를 위해 전라지역 한 초등학교의 6학년 학생 195명이 참여하였으며 영재학생에 대한 인식을 은유적으로 표현하고 그 이유를 설명할 수 있도록 개방형 질문을 제시하였다. 수집된 자료를 반복적으로 비교하여 분석한 결과 총 13가지 주제의 메타포가 나타났으며 이를 구별되는 영재, 노력하는 영재, 능력을 발휘하는 영재, 보물 같은 영재의 4가지 관점으로 범주화할 수 있었다. 이 중 가장 많은 비중을 차지하는 관점은 능력을 발휘하는 영재 관점이었다. 또한 성별, 주변인의 영재교육 경험 여부, 매체를 통한 영재 사례 경험 여부에 관계없이 매우 정형화된 영재 이미지를 가지고 있음이 확인되었다. 이 연구는 영재학생에 대한 이미지 및 편견을 파악하여 이를 개선하는 한편, 영재학생의 일반학급 적응을 돕는 방안을 마련하는 데에 기초자료로 활용될 수 있다.