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韓昌勳,金聖大,崔富貴 東亞大學校 附設 情報通信硏究所 1995 情報通信硏究所論文誌 Vol.3 No.1
CMAC는 입력공간의 상태를 국부적으로 일반화하는 look-up table로서 on-line 학습 매니퓰레이터 제어를 위해 개발되었다. CMAC는 입력 벡터사이의 거리를 함수값이 내장된 주소 사이의 중첩정도로 변환시키는 매핑 알고리즘으로 유사한 출력을 생성하기 위해 유사한 입력을 일반화시키는 연상 메모리망(Associative Memory Network)으로 취급할 수있는데 이 경우 유사하지 않은 입력에 대해서는 독립적인 출력을 생성시킨다. 본 논문은 CMAC의 매핑 알고리듬의 동작원리를 분석하고 학습과 관련된 여러 매개 변수들을 조정하여 학습능력을 평가한다.
崔富貴 동아대학교 공과대학 부설 한국자원개발연구소 1982 硏究報告 Vol.6 No.1
A block diagram for active R filter is proposed. According to the block diagram, an active R filter is realized by using two op Amp and 7 resistors. The filter has very low sensitivities to all circuit parameters, is tunable over wide frequency ranges, and is suitable for high-frequency and medium-Q applications. Laboratory experiments confirm the validity of the theory and demonstrate the versatility of the circuit as the biquadratic building block.
崔富貴,邊健植 동아대학교 공과대학 부설 한국자원개발연구소 1985 硏究報告 Vol.9 No.1
In this paper, the fundamental theory of speech analysis is explained and a class of stable lattice method for linear prediction is presented. This method guarantee the stability of the all pole filter and a low computational cost comparable to the DURBIN method among the another traditional methods. Particulary, this method present that a PARCOR coefficient can be calculated without the calculation of linear prediction coefficient.
고유 불안정한 도립진자 시스템의 최적 안정화 제어에 관한 연구
최부귀,박영식,안기형,이취중 동아대학교 공과대학 부설 한국자원개발연구소 1990 硏究報告 Vol.14 No.1
This paper proposes a design techinque of dynamic stabilization controller for the intrinsic unstable inverted pendulum system. Mathematical modelling with the more complex nonlineaity and the stabilized control theory presented by C.D. Johnson are adapted to this system by using the stage-space approach. And the stabilized controller with the designed optimal regulator type which can be fastly tracked and can be accurately counteracted against all effects of the constant disturbances and the parameteric variations is sumulated and is implemented successfully on the microcomputer.
최부귀,김종훈 대한전자공학회 1977 전자공학회지 Vol.14 No.3
In this paper, a series inverter circuit is constructed by using the pinch-off characteristics of FET, and itsoutput characteristics is analysed for the variation of gate bias frequency and load. The above constructed circuit could eliminate the unstable output characteristics of SCR-series inverter fir chit by the changes of gate bias frequency and load resistor. But the current capacity of the FET-series inverter circuit is relatively small, and is recommended to be used for light loads. 본 논문은 FET의 핀치오프특성을 이용하여 직렬인버어터회로를 구성하고 그것의 출력특성을 게이트바이어스 주파수 및 부하의 변동에 따라 분석하였다. 상기 회로는 SCR직렬인버어터회로에서 생기기 쉬운 게이트바이어스주파수 및 부하의 변동에 따른 출력의 불안정을 제거하였다. 그러나 FET직렬인버어터의 전류용량이 적어 경부하에 적당하다.
崔富貴,金斗泳 동아대학교 공과대학 부설 한국자원개발연구소 1990 硏究報告 Vol.14 No.1
In this paper, we propose the new algorithm for image vector quantizer. Image data is seperated to the edge part and nonedge part. Edge part is classified and edge table is generated. Using this edge table, codebook for edge data is generateted by LBG algorithm through the distance measure of abstract difference. Codebook for nonedge data is conventional one. Experimental results for X-ray image are compared by proposed vector quantizer and conventional one.
한창훈,최부귀 東亞大學校 附設 情報通信硏究所 1996 情報通信硏究所論文誌 Vol.4 No.1
This paper presents an adaptive critic self-learning control system with Cerebellar Model Articulation Controller(CMAC)-based decoder integrated with the Associative Search Element(ASE) and Adaptive Critic Element(ACE)-based scheme. The task of the system is to pole that is hinged to a movable cart by applying forces to the cart's base. The problem is that error feedback information is limited. The ASE incorporated prediction information for reinforcement from a critic to produce evaluative information for the plant. The CMAC's information interpolation improves the learning speed. And we developed inverted pendulum software tool to show control capability with neural network.
한창훈,박윤명,임영도,최부귀 東亞大學校 附設 情報通信硏究所 1998 情報通信硏究所論文誌 Vol.6 No.1
This paper describes an intelligent cruise control system for automobile. With the remarkable numerical increase of automobiles on the road, the optmized traffic flow control using the cruise control is one of the very important traffic problems to overcome the limitation of an existing road capacity. Based on this idea that minimize the fuel cost and the air pollution, and accept a driver's need for driving, we have developed an intelligent cruise control system for vehicle. This proposed intelligent fuzzy cruise controller was successfully implemented using the fuzzy algorithm, the i80c196 μ-controller board and the throttle valve actuator. The field test results on an linear road was introduced.
이상관,박영식,최부귀 東亞大學校 附設 情報通信硏究所 1995 情報通信硏究所論文誌 Vol.3 No.1
본 논문에서는 시변 동적 시스템의 적응제어를 위한 신경회로망의 응용에 대해 제안한다.플랜트를 제어하기 위하여 역동적 신경회로망 모델을 사용하는 학습이 필요하다. 제안된 시스템은 제어회로망과 학습회로망으로 구성된다. 제어회로망은 제어된 플랜트와 직렬로 구성한다. 학습회로망은 회로망이 동작하는 동안 역 동적 학습을 하기 위해 플랜트와 병렬로 구성한다. 제어회로망은 궤환오차와 원하는 플랜트의 출력을 입력으로 하여 제어 신호을 발생한다. 시뮬레이션 결과를 통해서 본 연구에 제안된 적응 추적제어 문제의 응용 가능성을 확인한다. In this paper an application of neural networks to the adaptive control of time-varying dynamic systems is proposed. The essence of the approach adopted was to use a neural network model of the inverse dynamics of a plant to control that plant. The proposed control system comprises a control network and a training network. The control network is placed in series with the controlled plant. The training network is positioned across the plant to learn its inverse dynamics during operation. The control network generates control signals to the plant, taking as its inputs the desired plant output and the feedback error. Simulation results are presented to illustrate the applicability of the proposed scheme to adaptive tracking control problems.