• Proceedings of the IEEK Conference
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• 2003.07c
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• pp.2517-2520
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• 2003

본 논문에서는 가상 디바이스 네트워크에 대한 개념과 틀을 제시하였다. 디바이스 제어 네트워크로서 LonWorks 네트워크를 선택하고, 데이터 네트워크로는 이더넷을 선택하여 가상 디바이스 네트워크를 구성하였다. 가상 디바이스 네트워크의 전달 특성을 데이터 네트워크의 전달 특성과 함께 조사하였다. 가상 디바이스 네트워크 상에서의 실시간 제어를 위해 불특정한 시간 지연을 보상할 필요가 있다. 유한한 H₂노옴을 갖는 Smith 예측 제어기를 이용한 직류서보모터의 제어실험을 통하여 제안된 제어기의 타당성을 검증하였다.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.41 no.9
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• pp.1095-1103
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• 1992

An approach to fuse the fuzzy inference system which is able to deal with imprecise and uncertain information and genetic algorithms which display the excellent robustness in complex optimization problems is presented in this paper. In order to combine genetic algorithms and fuzzy inference engine effectively the new reasoning method is suggested. The efficient identification method of fuzzy rules is proposed through the adjustment of search areas of genetic algorithms. The feasibilty of the proposed approach is evaluated through simulation.

• Proceedings of the IEEK Conference
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• 2003.07d
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• pp.1589-1592
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• 2003

Existing system management software solutions show limitations in time and space, as well as problems such as uncertain error messages, and also difficulty providing swift assistance or real time emergency support. Therefore, a wireless remote control system has been designed and implemented in this thesis, which is capable of managing and monitoring remote systems using mobile communication devices (Mobile Phone, PDA, Smart Phone, Webpad) for instantaneous control. The implemented real time wireless remote control system provides remote server management functions, error or event message (unctions, log record functions, authentication function via mobile devices.

• Journal of the Korean Institute of Intelligent Systems
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• v.1 no.2
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• pp.43-54
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• 1991

임시지식을 표현하고 추론하는 것은 인공지능 분야에서 중요한 문제로 되어왔다. 그런데 우리는 또한 일상생활에서 불확실성을 지니고 있는 임시지식을 자주 대하게 된다. 최근에 Dubois와 Prade는 시간의 기본단위로 시간점을, Dutta는 구간을 사용하여 이를 표현하였다. 본 논문에서 우리는 구간을 시간의 기본단위로 하면서 그 구간들이 점들과 같은 순서구조를 갖는 특성을 가진 새로운 표현모델을 제안한다. 그리고 간단한 추론규칙들을 제시하며 발생시기가 불확실한 사건들사이의 임시관계를 표현하되 convex한 사건과 non-convex한 사건을 나누어 설명한다.

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.48.2-48
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• 2002

This paper presents an integrated sliding mode adaptive control scheme for general nonlinear uncertain systems, where structured uncertainty is assumed can be linearly parameterized and unstructured uncertainty is assumed be bounded by unknown constant A certain estimation scheme for this unknown constant is introduced to attenuate the unstructured uncertainty. Presented control scheme is shown to be stable and numerical expressions of bounds of all error signals are given, from which we can acquire some useful information about practical trade-off between tracking performance and parameter estimation property.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2001.04a
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• pp.259-262
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• 2001

An improved robust hybrid control law is proposed. This law used the separated bounding function and the stiffness bound. It satisfied the performance though we don't know precise information of contact environments. It guarantees the practical stability in sense of Lyapunov. Simulation was performed to validate this law using a four-axis SCARA type robot manipulator.

• 제어로봇시스템학회:학술대회논문집
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• 1990.10a
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• pp.127-130
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• 1990

The fuzzy logic controller which can be applied to various industrial processes is quite often dependent on the heuristics of the experienced operator. The operator's knowledge is often uncertain. Therefore an incorrect control rule on the basis of the operator's information is a cause of bad performance of the system. This paper proposes a new self-learning fuzzy control method by the fuzzy system identification using the data pairs of input and output and arbitrary initial relation matrix. The position control of a DC servo motor model is simulated to verify the effectiveness of the proposed algorithm.

• Proceedings of the IEEK Conference
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• 2002.06e
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• pp.5-8
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• 2002

In this paper, we applied a PC interface and an embedded system in order to design a non-linear system and implement the PID algorithm as our control one. We used the inverted pendulum, one of the most generally used non-linear system models, to control uncertain factors in the environment. This paper showed how to use this non-linear system model to control the factors completely as well as to understand the PID algorithm. Furthermore, this paper applied and understood the embedded system.

• Journal of applied mathematics & informatics
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• v.35 no.3_4
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• pp.331-347
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• 2017

Soft sets are fantastic mathematical tools to handle imprecise and uncertain information in complicated situations. In this paper, we defined the hybrid structure which is the combination of soft set and complex number representation of intuitionistic fuzzy set. We defined basic set theoretic operations such as complement, union, intersection, restricted union, restricted intersection etc. for this hybrid structure. Moreover, we developed this theory to establish some more set theoretic operations like Disjunctive sum, difference, product, conjugate etc.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.31B no.8
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• pp.201-210
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• 1994

We proposed so-called AFHR (adaptable fuzzy hyper-resolution principle) that can manipulate uncertain knowledge and tune the range of resolution. The AFHR can make a rangable resolution to execute an efficient resolution and can represent linguistic truth values. In this paper, we introduce new concepts of law of contrary, meaningless range level for truth values and strict degree of adaptable resolution. We show that the differences of AFHR and existing fuzzy resolution. Finally we prove completeness of AFHR.