• 제목/요약/키워드: Lyapunov attractors

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ATTRACTORS OF LOCAL SEMIFLOWS ON TOPOLOGICAL SPACES

  • Li, Desheng;Wang, Jintao;Xiong, Youbing
    • 대한수학회지
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    • 제54권3호
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    • pp.773-791
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    • 2017
  • In this paper we introduce a notion of an attractor for local semiflows on topological spaces, which in some cases seems to be more suitable than the existing ones in the literature. Based on this notion we develop a basic attractor theory on topological spaces under appropriate separation axioms. First, we discuss fundamental properties of attractors such as maximality and stability and establish some existence results. Then, we give a converse Lyapunov theorem. Finally, the Morse decomposition of attractors is also addressed.

Weak attractors and Lyapunov-like functions

  • Kim, Jong-Myung;Kye, Young-Hee;Lee, Keon-Hee
    • 대한수학회논문집
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    • 제11권2호
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    • pp.457-462
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    • 1996
  • Recently Hurley [3] proved that if A is a weak attractor of a discrete dyanamical system f then there exists a Lyapunov-like function for A. The purpose of this note is to study whether the converse of the above result does hold or not.

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INVARIANT GRAPH AND RANDOM BONY ATTRACTORS

  • Fateme Helen Ghane;Maryam Rabiee;Marzie Zaj
    • 대한수학회지
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    • 제60권2호
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    • pp.255-271
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    • 2023
  • In this paper, we deal with random attractors for dynamical systems forced by a deterministic noise. These kind of systems are modeled as skew products where the dynamics of the forcing process are described by the base transformation. Here, we consider skew products over the Bernoulli shift with the unit interval fiber. We study the geometric structure of maximal attractors, the orbit stability and stability of mixing of these skew products under random perturbations of the fiber maps. We show that there exists an open set U in the space of such skew products so that any skew product belonging to this set admits an attractor which is either a continuous invariant graph or a bony graph attractor. These skew products have negative fiber Lyapunov exponents and their fiber maps are non-uniformly contracting, hence the non-uniform contraction rates are measured by Lyapnnov exponents. Furthermore, each skew product of U admits an invariant ergodic measure whose support is contained in that attractor. Additionally, we show that the invariant measure for the perturbed system is continuous in the Hutchinson metric.

음성에 대한 퍼지-리아프노프 차원의 제안 (The Proposal of the Fuzzed Lyapunov Dimension at Speech Signal)

  • 인준환;유병욱;유석한;정명진;김창석
    • 전자공학회논문지T
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    • 제36T권4호
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    • pp.30-37
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    • 1999
  • 본 연구에서는 퍼지 Lyapunov차원을 제안하였다. 퍼지 Lyapunov차원이란 어트렉터의 양적 변화를 평가하는 것으로 본 논문에서는 이것에 의해 화자 인식이 평가되었다. 제안된 퍼지 Lyapunov차원은 표준 패턴 어트렉터사이의 변별 특성이 우수하고, 어트렉터에 대해서는 패턴변동을 흡수시키는 화자 인식 파라미터임을 확인하였다. 퍼지 Lyapunov차원을 평가하기 위해 화자와 표준 패턴별로 식별 오차에 따른 오인식을 추정함으로써 화자인식 파라미터의 타당성을 검토하였다. 화자인식 실험을 수행한 결과 인식율 97.0[%]을 얻었으며 퍼지 Lyapuov차원이 화자인식 파라미터로서 적합함을 확인하였다.

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보행에서 남성과 여성에 대한 주요 관절 운동의 통계학적 분석 (Statistical Analysis of Major Joint Motions During Level Walking for Men and Women)

  • 김민경;박정홍;손권;서국웅
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2007년도 춘계학술대회A
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    • pp.786-791
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    • 2007
  • Statistical differences between men and women are investigated for a total of eleven joint motions during level walking. Human locomotion which exhibits nonlinear dynamical behaviors is quantified by the chaos analysis. Time series of joint motions was obtained from gait experiments with ten young males and ten young females. Body motions were captured using eight video cameras, and the corresponding angular displacements of the neck and the upper body and lower extremity were computed by motion analysis software. The maximal Lyapunov exponents for eleven joints were calculated from attractors constructed and then were analyzed statistically by one-way ANOVA test to find any difference between the genders. This study shows that sexual differences in joint motions were statistically significant at the shoulder, knee and hip joints.

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화자인식을 위한 퍼지-상관차원과 퍼지-리아프노프차원의 평가 (The Evaluation of the Fuzzy-Chaos Dimension and the Fuzzy-Lyapunov Ddimension)

  • 유병욱;박현숙;김창석
    • 음성과학
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    • 제7권3호
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    • pp.167-183
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    • 2000
  • In this paper, we propose two kinds of chaos dimensions, the fuzzy correlation and fuzzy Lyapunov dimensions, for speaker recognition. The proposal is based on the point that chaos enables us to analyze the non-linear information contained in individual's speech signal and to obtain superior discrimination capability. We confirm that the proposed fuzzy chaos dimensions play an important role in enhancing speaker recognition ratio, by absorbing the variations of the reference and test pattern attractors. In order to evaluate the proposed fuzzy chaos dimensions, we suggest speaker recognition using the proposed dimensions. In other words, we investigate the validity of the speaker recognition parameters, by estimating the recognition error according to the discrimination error of an individual speaker from the reference pattern.

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단속 주파수를 변화시킨 청각자극에 반응하는 뇌전위신호의 카오스 분석 (Chaotic Dynamics in EEG Signal Responding to Auditory Stimulus with Various Sound-Cutting Frequencies.)

  • 최정미;배병훈;김수용
    • 대한의용생체공학회:의공학회지
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    • 제15권3호
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    • pp.237-244
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    • 1994
  • 1Hz에서 20Hz까지의 단속 주파수를 지닌 청각자극을 가해 얻은 EEG 신호에서 자극에 따른 신호의 정성적이고 정량적인 특성을 카오스 분석방법을 통해 밝혔다. 먼저, 뇌전위 신호에 전반적으로 나타나는 일반적인 카오스 특징(fractal mechanism, I/f frequency spectrum, positive Lyapunov exponent 등등)을 확인하였다. 유발전위에 대해서는 자극의 주파수에 따른 주기배증을 경유한 카오스로 가는 길(route to chaos)과 2차원 pseudo-Phase portrait의 뿌앙까레 단면에서의 기하학적 모양(topological property)의 변화를 관찰하였고, 자발전위가 포함된 유발전위에 대해서는 적절한 bases를 지닌 3차원 phase space에서 기이한 끌개(chaotic attractor)가, 유발전위의 정보를 지닌채 보여졌다. 끝으로 자극 주파수(단속 주파수)변화와 측정이 이루어진 머리표면에서의 공간적 위치에 따른 Lyapunov exponent값 변화를 의미있게 해석하였다. 이 결과는 무질서하게 보이는 뇌전위신호에서 주어진 청각자극에 대한 정보를 얻는 새로운 방법을 제시하게 된다.

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뇌파신호의 카오스 특징 추출을 위한 통합 시스템의 개발 (A Study on the Development of Integrated Chaos Analysis System for EEG)

  • 우용호;김현술;김택수;최윤호;박상희
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1995년도 하계학술대회 논문집 B
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    • pp.962-964
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    • 1995
  • In this paper, an integrated chaos analysis system for EEG (ICASE) is designed for the analysis of brain functions based on the chaos theory. Nonlinear dynamic characteristics of EEG such as 3-D attractor, Poincare section, correlation dimension, Lyapunov exponents and power spectrum are extracted by this system. The results show that chaotic attractors which indicate the presence of deterministic, dynamics of complex nature could be identified from a routine EEG recording for normal and pathological activity. This proves that the chaotic analysis of EEG may be an appropriate tool in the classification of brain activity and thus a possible diagnostic tool.

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