• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2000년도 춘계학술대회 학술발표 논문집
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• pp.249-255
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• 2000

HRIV(Hybrid Rule-Interval Variation) method is presented to stabilize a class of nonlinear systems, where SMC(Sliding Mode Control) and ADC (ADaptive Control) schemes are incorporated to overcome the unstable characteristics of a conventional FLC(Fuzzy Logic Control). HRIV method consists of two modes: I-mode (Integral Sliding Mode PLC) and R-mode(RIV method). In I-mode, SMC is used to compensate for MAE(Minimum Approximation Error) caused by the heuristic characteristics of FLC. In R-mode, RIV method reduces interval lengths of rules as states converge to an equilibrium point, which makes the defined Lyapunov function candidate negative semi-definite without considering MAE, and the new uncertain parameters generated in R-mode are compensated by SMC. In RIV method, the overcontraction problem that the states are out of a rule-table can happen by the excessive reduction of rule intervals, which is solved with a dynamic modification of rule-intervals and a transition to I-mode. Especially, HRIV method has advantages to use the analytic upper bound of MAE and to reduce Its effect in the control input, compared with the previous researches. Finally, the proposed method is applied to stabilize a simple nonlinear system and a modified inverted pendulum system in simulation experiments.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.1260-1263
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• 2005

Data storage related with writing and retrieving requires high storage capacity, fast transfer rate and less access time. Today any data storage system cannot satisfy these conditions, however holographic data storage system can perform faster data transfer rate because it is a page oriented memory system using volume hologram in writing and retrieving data. System can be constructed without mechanical actuating part therefore fast data transfer rate and high storage capacity about 1Tb/cm3 can be realized. In this research, to reduce errors of binary data stored in holographic data storage system, a new method for bit error reduction is suggested. First, find fuzzy rule using experimental system for Element of Holographic Digital Data System. Second, make fuzzy rule table using Genetic algorithm. Third, reduce prior error element and recording Digital Data. Recording ratio and reconstruction ratio will be very good performance

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.123.2-123
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• 2001

It is difficult to determine the feeding rate of coagulant in the water treatment plant, due to nonlinearity, multivariables and slow response characteristics, etc. To deal with this difficulty, the neuro-fuzzy system and the genetic-fuzzy system were used in determining the feeding rate of the coagulant. The fuzzy system is excellently robust in multi-variables and nonlinear problems. Therefore it uses basic algorithm, but it is difficult to construct of the fuzzy parameter such as the rule table and the membership function, Therefore we made the neuro-fuzzy system and the genetic-fuzzy system with the fusion of learning algorithms and compared the performance of the two fuzzy systems. To apply these algorithms, we made the rule table, membership function from the actual operation data of the water treatment plant. We determined optimized feeding rate of coagulant using the fuzzy operation, and also compared ...

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1991년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 22-24 Oct. 1991
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• pp.563-566
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• 1991

This paper discusses the possibility of applying fuzzy logic controller in a microprocessor - based servomotor controller, such as servomotor position controller, which requires faster and more accurate response compared with other industrial processes. According to the fuzzy control rule made by tie analysis of error and error change, one Look-up table that contains various quantized step is made and appropriate initial error change is selected to the good responses.

• 한국지능시스템학회논문지
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• 제10권4호
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• pp.368-373
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• 2000

In this paper, a control algorthm suitable for multi-objective control is proposed based on the orthogonal array which is normally used in statics and industrial engineering. And a newly defined Nthcertainty factor is suggested, which can effectively exclude the less confident rule. The Nth-certainty factor is defined by the F-values of the ANOVA(analysis of variance) table. It is shown that the algorithm can be successfully adopted to the design of controller for an active magnetic bearing system.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2000년도 추계학술대회논문집
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• pp.449-454
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• 2000

A new fuzzy logic control design algorithm suitable for multi-objective control problems is proposed based on the orthogonal array which is widely used for design of experiments in statistics and industrial engineering. The essence of the algorithm is to introduce Nth-certainty factor defined from the F-value of the ANOVA(analysis of variance) table, in order to effectively exclude the less confident rules. The proposed algorithm with multi-objective decision table(MODT) is found to be capable of the detection of inconsistency and the rule classification, reduction and modification. It is also shown that the algorithm can be successfully applied to the fuzzy controller design of an active magnetic bearing system.

• 융합신호처리학회논문지
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• 제10권1호
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• pp.93-99
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• 2009

퍼지제어, 신경망, 유전알고리즘은 시스템의 지능을 좀 더 높게 만들기 위한 알고리즘들이다. 본 논문은 원하는 응답을 얻기 위해 유전알고리즘을 사용해서 퍼지제어기를 최적화시켰다. 또한, 보상된 퍼지제어기는 두 개의 제어규칙을 갖는다. 하나의 제어규칙은 오버슛과 과도응답영역에서 일어나는 상승시간을 감소시키기 위해 사용하고 다른 하나는 정상상태오차를 줄이고 수렴영역에서의 수렴을 빠르게 가져가기 위해 사용된다. 유전알고리즘 제어기는 두 개의 퍼지 룰 베이스의 최적한 교체시기를 찾기 위해 사용하며 퍼지-유전알고리즘 제어기는 재생산, 교배와 변이의 과정을 갖는다. 그리고 유압서보 모터 제어시스템에 적용하여 제안한 알고리즘을 실험하였다. 실험 결과 보상된 FUZZY-GA제어기가 두 개의 룰 베이스를 갖는 퍼지제어 기술에 비해 좋은 제어성능을 가짐을 관찰하였다.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1995년도 추계학술대회 학술발표 논문집
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• pp.180-185
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• 1995

In this paper, we designed the speed controller with high accuracy and speedy steady-state response, in Induction motor control system, Fuzzy P-1 controller of Induction motor using Microprocessor have an appropriate fuzzy rule matrix (which is 2-separate Look-up Table) The usefulness of proposed fuzzy P-1 controller will be confirmed by experiments which we compare with conventional P-1 controller.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제15권4호
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• pp.232-239
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• 2015

Studies on the control of the inverted pendulum type system have been widely reported. This is because it is a typical complex nonlinear system and may be a good model for verifying the performance of a proposed control system. In this paper, we propose the design of some fuzzy logic control (FLC) systems for controlling a Segway-type mobile robot, which is an inverted pendulum type system. We first derive a dynamic model of the Segway-type mobile robot and then analyze it in detail. Next, we propose the design of some FLC systems that have good performance for the control of any nonlinear system. Then, we design two conventional FLC systems for the position and balance control of the Segway-type mobile robot, and we demonstrate their usefulness through simulations. Next, we point out the possibility of simplifying the design process and reducing the computational complexity,, which results from the skew symmetric property of the fuzzy control rule tables. Finally, we design two other FLC systems for position and balance control of the Segway-type mobile robot. These systems have only one input variable in the FLC systems. Furthermore, we observe that they offer similar control performance to that of the conventional two-input FLC systems.

• 한국통신학회논문지
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• 제29권3B호
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• pp.339-348
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• 2004

패킷 분류근 인터넷 망에서 QoS(Quality of Service)보장, VPN(Virtual Private Network)등과 같은 사용자들의 다양한 서비스를 수용하기 위한 중요한 요소이다. 패킷 헤더는 기본적으로 IP(Internet Protocol) 패킷 헤더 내의 목적지 주소뿐만 아니라 발신지 주소, 프로토콜, TCP(Transmission Control Protocol)포트 번호 등 여러 필드들을 조합하여 룰 테이블로부터 best matching 룰을 찾는 것이다. 본 논문에서는 멀티 비트 트라이 구조의 트리 비트맵을 이용하여 하드웨어적인 룰 검색이 가능한 패킷 분류 기법을 제안한다. 검색 대상 필드 및 패킷 분류 룰을 구성하는 프레픽스를 비교 단위가 되는 일정한 비트 크기의 멀티 비트로 나누고, 이와 같이 구분된 멀티 비트 단위로 트리 비트맵 기반의 룰 검색 기능을 수행한다. 제안한 기법은 프레픽스의 일정한 상위 비트들에 대해서는 인덱싱 키로 사용하여 룰 검색을 위한 메모리 액세스 횟수를 줄이도록 하였다. 또한 룰 검색시 성능 저하를 초래하는 백트랙킹이 발생하지 않도록 하기 위하여 룰 테이블 구축시 마커 프레픽스에 대한 처리 기법을 제안하였다 그리고 본 논문에서는 IPMA(Internet Performance Measurement Analysis) 프로젝트에서 제공하는 라우팅 테이블의 프레픽스들을 이용하여 2차원 즉, 목적지 주소와 발신지 주소의 2필드로 구성되는 랜덤 룰 셋을 생성하고 제안한 기법에 대한 메모리 소요량 및 성능 비교를 하였다.