• 제목/요약/키워드: fuzzy stability

검색결과 621건 처리시간 0.02초

STABILITY OF A QUADRATIC FUNCTIONAL EQUATION IN INTUITIONISTIC FUZZY NORMED SPACES

  • Bae, Jae-Hyeong;Park, Won-Gil
    • 대한수학회논문집
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    • 제26권2호
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    • pp.237-251
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    • 2011
  • In this paper, we determine some stability results concerning the 2-dimensional vector variable quadratic functional equation f(x+y, z+w) + f(x-y, z-w) = 2f(x, z) + 2f(y, w) in intuitionistic fuzzy normed spaces (IFNS). We dene the intuitionistic fuzzy continuity of the 2-dimensional vector variable quadratic mappings and prove that the existence of a solution for any approximately 2-dimensional vector variable quadratic mapping implies the completeness of IFNS.

스위칭 시스템을 위한 안정도 분석 및 출력 궤환 제어 (Stability Analysis ant Static Output Feedback Control for switched system)

  • Kim, Joo-Won;Park, Jin-Bae;Joo, Young-Hoon
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2002년도 추계학술대회 및 정기총회
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    • pp.122-125
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    • 2002
  • This paper proposes a stability condition in switched system and then, introduce design method of fuzzy-model-based controller which guarantees the stability. Takagi-Sugeno(75) fuzzy model is employed to design a switching-type fuzzy-model-based ,controller. Furthermore, it is proposed that the design method stabilizing continuous and discrete-time 75 fuzzy model respectively. Each controller in each subspace stabilize the subsystem respectively. In order to guarantee the stability of the global system, it is required to guarantee the stability condition in boundaries with subsystems. The condition which guarantees the stability in boundaries is presented in this paper. Inverted Pendulum system is employed to execute computer simulations. In this computer simulation, the performance of the proposed controller is verified by the control result.

퍼지 리아푸노프 함수 기반 강인한 퍼지 제어기 설계 (Design of the Robust Fuzzy Controller based on Fuzzy Lyapunov Functions)

  • 김호준;박진배;주영훈
    • 한국지능시스템학회논문지
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    • 제21권5호
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    • pp.630-636
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    • 2011
  • 본 논문은 매개변수 불확실성을 가지는 Takagi-Sugeno(T-S) 퍼지 시스템의 안정도 해석과 안정화 조건을 고려한다. T-S 퍼지 시스템의 안정도 해석 시 conservativeness를 줄이기 위해 퍼지 리아푸노프 함수를 이용한다. 매개변수 불확실성을 가지고 있는 시스템의 안정도를 해석하고 시스템을 안정화 시키는 퍼지 강인 제어기 설계 기법을 제시한다. 안정도조건과 안정화조건은 선형행렬부등식의 형태로 표현된다. 모의실험을 통해 제안된 접근 방법의 효용성을 보인다.

STABILITY OF FUZZY DYNAMIC CONTROL SYSTEM: The Cell-State Transition Method

  • Kang, Hoon
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1993년도 Fifth International Fuzzy Systems Association World Congress 93
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    • pp.1078-1081
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    • 1993
  • The Objective of this paper is to provide fuzzy control designers with a design tool for stable fuzzy logic controllers. Given multiple sets of data disturbed by vagueness uncertainty, we generate the implicative rules that guarantee stability and robustness of closed-loop fuzzy dynamic systems. We propose the cell-state transition method which utilizes Hsu's cell-to-cell mapping concept [1]. As a result, a generic and implementable design methodology for obtaining a fuzzy feedback gain K, a fuzzy hypercube [2], is provided and illustrated with simple examples.

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암반사면의 안정성 평가 및 적용에 관한 연구 (A Study on the Stability Assessment and Application of Rock Slope)

  • 안종필;박주원;오수동
    • 한국지반공학회:학술대회논문집
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    • 한국지반공학회 1999년도 가을 학술발표회 논문집
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    • pp.177-184
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    • 1999
  • In general tile evaluation process of rock slope stability is an ambiguous system which is made up of ideas subjected to practical experience of an expert. This paper aims to propose more effective methods that helps engineers to evaluate the stability of rock slope by using RMR(Rock Mass Rating for the Geomechanics Classification) and Stereo-graphic Projection and Fuzzy Approximate Reasoning Concept. the result of this paper is that a rational evaluation of rock slope stability and countermeasures can be achieved thorough RMR. and Stereo-graphic Projection and Fuzzy Approximate Reasoning Concept.

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시스템의 안전성을 고려한 퍼지제어기의 설계법과 DC 서보모터 속도제어에의 응용 (Design of Fuzzy Controller Considering Stability and Application to DC Moter Velocity Control)

  • 오길성;강근택
    • 수산해양기술연구
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    • 제29권4호
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    • pp.286-291
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    • 1993
  • This paper presents a design method of fuzzy controller based on TSK fuzzy model. By using the proposed method, we can design fuzzy controller mathematically, which guarantees the stability of fuzzy system. We derived a theorem related to the stability of fuzzy system. In that theorem, we show that the fuzzy system has the same stable state transition matrix as we desire. The validity of the proposed method is shown through an experiment of DC motor velocity control.

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고정 파라미터를 갖는 단순화된 퍼지 PID 제어기의 제안과 안정도 분석 (Stability Analysis and Proposal of the Simplified Form of a Fuzzy PID Controller with Fixed Parameters)

  • 이병결;김인환;김종화
    • 한국지능시스템학회논문지
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    • 제14권7호
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    • pp.807-815
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    • 2004
  • 본 논문은 고정 파라미터를 갖는 퍼지 PID제어기의 설계방법을 기술하고 컴퓨터 연산 시간을 줄일 수 있는 단순화된 퍼지 PID제어기를 제안하며 제안한 제어기의 안정도를 분석한다. 안정도 분석을 위해 사용한 소이득 정리로부터 전체 피드백 시스템의 BIBO 안정도의 실제적인 충분조건을 유도하고, 유도한 안정 조건으로부터 안정한 선형 PID제어기의 파라미터로부터 퍼지 PID제어기의 파라미터를 결정하는 방법을 고찰한다. 마지막으로 선형 시스템과 비선형 시스템에 대한 컴퓨터 시뮬레이션을 실시하고 비선형 퍼지 PID제어기의 시뮬레이션 결과를 선형 PID제어기의 시뮬레이션 결과와 비교하여 성능을 확인한다.

샘플치 퍼지 제어기 설계를 이용한 비선형 뉴트럴 시스템 제어기 설계 (Sampled-data Fuzzy Control for Nonlinear Neutral Systems)

  • 송민국;주영훈;박진배
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2008년도 심포지엄 논문집 정보 및 제어부문
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    • pp.195-196
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    • 2008
  • This paper presents the stability analysis and design for a sampled-data fuzzy control system with neutral type of time delay. The sampling activity and neutral type of time delay will complicate the nonlinear system dynamics. And it make the stability analysis much more difficult than that for a continuous-time fuzzy control system. Based on the fuzzy control approach, linear matrix inequality (LMI)-based stability conditions are derived to guarantee the neutral T-S fuzzy system stability. Finally, an example is provided to illustrate the effectiveness of the proposed approach.

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보상 퍼지 제어기를 이용한 비선형 시스템의 안정화 (Stabilization of nonlinear systems using compensated fuzzy controllers)

  • 강성훈;박주영
    • 전자공학회논문지C
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    • 제34C권5호
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    • pp.43-54
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    • 1997
  • The objective of this paper is to present a controller-design method that can guarantee the global stability for nonlinear systems described by takagi-sugeno fuzzy models, and to apply the method to a typical nonlinear control problem. The presented method gives us a compensated fuzzy controller through the following major steps: First, if each local linear model of a given takagi-sugeno fuzzy system does not have the same input matrix, the method expands the system into the one with a method finds a takagi-sugeno fuzzy controller guaranteeing the global stability of the closed loop via solving relevant linear matrix inequalities. Compared to the conventional PDC (paralled distributed compensation) technique, the presented method has an advantage that trial-and-errors to check the global stability are not necessary. An illustrative simulation on the control of inverted pendulum is performed to demonstrate the applicability of the presented method, and its results show that a controller satisfying the global stability and robustness can be obtained by the method.

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