• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2001년도 하계종합학술대회 논문집(3)
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• pp.37-40
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• 2001

There are over a billion web sites on the Internet and the number of web sites is still growing. This paper describes an information system. We have designed Trigger Agent System based on RMI (Remote Method invocation) and distribution object system. In this paper, we introduce Trigger agent system which is one of Intelligent agent system.

• 한국산업융합학회 논문집
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• 제10권4호
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• pp.271-274
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• 2007

In this paper, we propose a intelligent controller design method for the water level control of the power plant drum in the form of nonminimum phase system. The proposed method is based on T. Takagi and M. Sugeno's fuzzy model. And we illustrate the improved characteristics as the simulation results, comparing with the conventional the PID and LQ controller design method.

• 조명전기설비학회논문지
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• 제15권6호
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• pp.20-26
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• 2001

본 논문에서는 터널의 내공변위를 측정하고 측정된 데이터를 효율적으로 관리하는 계측 시스템을 설계하였다. 계측 시스템은 마이크로콘트롤러로와 포텐시오메터형 변위센서로 구성되는 Intelligent Sensing Head와 계측 시스템을 운용하고 측정된 데이터를 관리하는 호스트 컴퓨터로 구성된다. Intelligent Sensing Mead와 호스트 컴퓨터는 다중노드 통신방식에 의하여 연결되며 다중노드 네트워크의 안정된 동작을 위하여 Daisy-Chain 형태로 네트워크를 구성하였고 Fail-Safe 회로를 설계하였으며 Modbus 프로토콜을 사용하여 시스템의 범용성을 높였다. 호스트 컴퓨터는 종합관리 소프트웨어에 의하여 다양한 측정조건을 선택할 수 있으며 데이터베이스를 이용하여 측정된 데이터를 관리한다. 설계된 시스템은 터널에 설치되어 효용성을 확인하였다.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2008년도 추계학술대회A
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• pp.565-570
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• 2008

Recently, the intelligent service robot is applied for the purpose of guiding the building or providing information to the visitors of the public institution. The intelligent robot which is on development has a sensor to recognize its location at the bottom of it. Four wheels which are arranged in the form of a lozenge support the weight of the components and structures of the robot. The operating environment of this robot is restricted at the uneven place because the driving part and internal structure is designed in one united body. The impact from the ground is transferred to the internal equipments and structures of the robot. This continuous impact can cause the unusual state of the precise components and weaken the connection between each structural part. In this paper, a suspension system which can be applied to the intelligent robot is designed. The dynamic model of the robot is created, and the driving characteristics of the actual robot and the robot with suspension are compared. The road condition which the robot can operate is expanded by the application of the suspension system. Additionally, the suspension system is optimized to reduce the impact to the robot components.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1993년도 한국자동제어학술회의논문집(국제학술편); Seoul National University, Seoul; 20-22 Oct. 1993
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• pp.378-384
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• 1993

In this paper, an intelligent adaptive controller is proposed for the process with unmodelled dynamics. The intelligent adaptive controller consists of the numeric adaptive controller and the intelligent tuning part. The continuous scheme is used for the numeric adaptive controller to avoid the problems occurred in the discrete time schemes. The adaptive controller is adopted to the process with time delay. It is an implicit adaptive algorithm based on GMV using the emulator. The tuning part changes the design parameters in the control algorithm. It is a multilayer neural network trained by robustness analysis data. The proposed method can improve the robustness of the adaptive control system because the design parameters are tuned according to the operating points of the process. Through the simulation, robustnesses are shown for intelligent adaptive controller. Finally, the proposed algorithms are implemented on the electric furnace temperature control system. The effectiveness of the proposed algorithm is shown from experiments.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.2258-2263
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• 2003

This paper presents the design and development of an optimal fuzzy logic controller (FLC) for a laser tracking system. An optimal intelligent fuzzy logic controller was founded on integral criterion of the fuzzy models and three-dimensional fuzzy control. Research had been also concentrated on the methods for multivariable fuzzy models for the purposes of real-time process. Simulation results have shown remarkable tracking performance of this fuzzy PID controller.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2000년도 추계학술대회 학술발표 논문집
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• pp.191-194
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• 2000

In this paper, an output tracking control technique of discrete-time Takagi-Sugeno (TS) fuzzy systems is developed. The TS fuzzy system is represented as an uncertain multiple linear system. The tracking problem of TS fuzzy system is converted into the stabilization problem of a uncertain multiple linear system. A sufficient condition for asymptotic tracking is obtained in terms of linear matrix inequalities (LMI). A design example is illustrated to show the effectiveness of the proposed method.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2005년도 춘계학술대회 학술발표 논문집 제15권 제1호
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• pp.46-56
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• 2005

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2003년도 춘계 학술대회 학술발표 논문집
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• pp.325-329
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• 2003

This paper discuss the method of the system's efficient control using a Intelligent hybrid algorithm in nonlinear dynamics systems. Existing neural network and genetic algorithm for the control of non-linear systems work well in static states. but it be not particularly good in changeable states and must re-learn for the control of the system in the changed state. This time spend a lot of time. For the solution of this problem we suggest the intelligent hybrid self-tuning controller. it includes neural network, genetic algorithm and immune system. it is based on neural network, and immune system and genetic algorithm are added against a changed factor. We will call a change factor an antigen. When an antigen broke out, immune system come into action and genetic algorithm search an antibody. So the system is controled more stably and rapidly. Moreover, The Genetic algorithm use the memory address of the immune bank as a genetic factor. So it brings an advantage which the realization of a hardware easy.

• 한국지능시스템학회논문지
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• 제14권3호
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• pp.267-272
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• 2004

본 논문에서는 농산물 저온저장시설의 냉동기용 지능형 진단 시스템을 제안한다. 제안하는 방법은 냉동기에 고장이 발생하면 냉동기 주요배관의 온도가 변화하는 성질을 이용하였다. 주요배관의 온도와 고장부위의 관계를 신경회로망을 이용하여 학습함으로써 고장상태를 추론할 수 있다. 제안된 방법을 구현하기 위하여 온도계측시스템 및 진단프로그램을 개발하였다. 개발된 시스템을 현장에 적용 실험하여 제안된 방법의 유용성을 검증하였다.