• 제목/요약/키워드: Chua circuit

검색결과 59건 처리시간 0.032초

등가 유무선 선로를 가진 Chua 회로에서의 카오스 동기화 (Chaos synchronization of Chuas circuit with equivalent wire and wireless transmission)

  • 배영철
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2000년도 추계학술대회 학술발표 논문집
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    • pp.227-230
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    • 2000
  • Chuas circuit is a simple electronic network which exhibits a variety of bifurcation and attractors. The circuit consists of two capacitors, an inductor, a linear resistor, and a nonlinear resistor. In this paper, a transmitter and a receiver using two identical Chuas circuits are proposed and synchronizations of a equivalent wire and wireless power line are investigated. Since the synchronization of the equivalent wire and wireless system is impossible by coupled synchronization, theory having both the drive-response and the coupled synchronization is proposed. As a result, the chaos synchronization has delay characteristics in the equivalent wire and wireless transmission system caused by the line parameters L and C.

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A study on Generalized Synchronization in Hyper-Chaos with SC-CNN

  • Bae, Young-Chul;Kim, Ju-Wan;Song, Hag-Hyun;Kim, Yoon-Ho
    • Journal of information and communication convergence engineering
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    • 제1권4호
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    • pp.217-222
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    • 2003
  • In this paper, we introduce a hyper-chaos synchronization method using hyper-chaos circuit consist of State-Controlled Cellular Neural Network (SC-CNN). We make a hyper-chaos circuit using SC-CNN with the n-double scroll. A hyper-chaos circuit is created by applying identical n-double scroll or non-identical n-double scroll and Chua's oscillator with weak coupled method to each cell. Hyper-chaos synchronization was achieved using GS(Generalized Synchronization) method between the transmitter and receiver about each state variable in the SC-CNN.

BVP 모델을 내장한 카오스 로봇에서의 목표물 탐색 (The Target Searching Method in the Chaotic Mobile Robot Embedding BVP Model)

  • 배영철;김이곤;구영덕
    • 한국지능시스템학회논문지
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    • 제17권2호
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    • pp.259-264
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    • 2007
  • 본 본문은 Arnold 방정식, Chua's 방정식과 같은 여러 종류의 카오스 회로를 이동 로봇에 내장하여 카오스 이동 로봇을 구성하고 이 카오스 이동 로봇이 어느 임의 평면을 카오스 궤적을 가지고 탐색하다가 장해물을 만나거나 근접하게 되면 장해물을 회피하는 방법과 목표물을 만나면 목표물을 집중 탐색하는 방법을 제시하고 그 결과를 검증하였다. 장해물 회피를 위해서 장해물을 고정 장해물과 BVP 모델을 이용한 은닉 장해물로 장해물을 가정하여 카오스 궤적을 가지고 회피하도록 하는 알고리즘을 개발하고 목표물 탐색을 위해서 BVP 모델을 이용하여 목표물로 가정하여 카오스 궤적을 가지고 집중적으로 탐색하도록 하는 알고리즘을 개발하고 그 결과를 검증하였으며 이에 대한 타당성을 확인하였다.

SC-CNN을 이용한 하이퍼카오스 회로에서의 동기화 및 비밀 통신 (The Synchronization and Secure Communication of Hyper-chaos circuit using SC-CNN)

  • 배영철;김주완
    • 한국정보통신학회논문지
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    • 제6권7호
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    • pp.1064-1068
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    • 2002
  • 본 논문에서는 SC-CNN을 이용한 하이퍼카오스 회로에서의 동기화와 비밀통신의 방법을 제시한다. 하이 퍼카오스 회로는 츄아회로의 변형인 N-Double Scroll CNN 회로를 이용하였으며, 동일한 2 개 또는 4개의 셀을 가진 n-double scroll 회로를 이용하여 송 .수신부를 구성하고 이 송 수신부 사이에 구동 동기를 이용한 동기화를 이루었으며, 복원신호에서 상태 변수 $$\chi$_3$ 에 의한 비밀통신이 상태 변수 ${$\chi$_2}, {$\chi$_1}$ 에 의한 방법 보다 우수함을 보였다.

이산 신호에 의한 카오스 시스템 제어 (Chaos system control via discrete signals)

  • 양기철;권세현;안기형
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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    • pp.147-150
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    • 1997
  • In the study, we consider chua's circuit which is a paradigmatic chaotic system belonging to Lur'e form. It is shown that the dynamic behavior of such a system can be influenced in such a way as to obtain out of chaotic behavior a desired periodic orbit corresponding to an unstable periodic trajectory which exists in the system. This kind of control can be achieved via injection of a single continuous time signal representing the output of the system associated with an unstable periodic orbit embedded in the chaotic attractor We investigate the case when this signal is sampled, i.e. we supply to the system the control signal at discrete time moments only.

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Synchronization in Complex Systems

  • Bae, Young-Chul;Kim, Chun-Suk;Koo, Young-Duk
    • Journal of information and communication convergence engineering
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    • 제2권4호
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    • pp.237-242
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    • 2004
  • In this paper, we introduce a complex systems synchronization method using hyper-chaos circuit consist of State-Controlled Cellular Neural Network (SC-CNN). We make a complex systems using SC-CNN with the n-double scroll. A complex system is created by applying identical n-double scroll or non-identical n-double scroll and Chua's oscillator with weak coupled method to each cell. Complex systems synchronization were achieved using GS(Generalized Synchronization) method between the transmitter and receiver about each state variable in the SC-CNN.

A study on Generalized Synchronization in the State-Controlled Cellular Neural Network(SC-CNN)

  • Rae Youngchul;Kim Yi-gon;Tinduka Mathias
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제5권4호
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    • pp.291-296
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    • 2005
  • In this paper, we introduce a generalized synchronization method and secure communication in the State-Controlled Cellular Neural Network (SC-CNN). We make a SC-CNN using the n-double scroll. A SC-CNN is created by applying identical n-double scroll or non-identical n-double scroll and Chua's oscillator with weak coupled method to each cell. SC-CNN synchronization was achieved using GS(Generalized Synchronization) method between the transmitter and receiver about each state variable in the SC-CNN. In order to secure communication, we have synthesizing the desired information with a SC-CNN circuit by adding the information signal to the hyper-chaos signal using the SC-CNN in the transmitter. And then, transmitting the synthesized signal to the ideal channel, we confirm secure communication by separating the information signal and the SC-CNN signal in the receiver.

Hybrid State Space Self-Tuning Fuzzy Controller with Dual-Rate Sampling

  • Kwon, Oh-Kook;Joo, Young-Hoon;Park, Jin-Bae;L. S. Shieh
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1998년도 제13차 학술회의논문집
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    • pp.244-249
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    • 1998
  • In this paper, the hybrid state space self-tuning control technique Is studied within the framework of fuzzy systems and dual-rate sampling control theory. We show that fuzzy modeling techniques can be used to formulate chaotic dynamical systems. Then, we develop the hybrid state space self-tuning fuzzy control techniques with dual-rate sampling for digital control of chaotic systems. An equivalent fast-rate discrete-time state-space model of the continuous-time system is constructed by using fuzzy inference systems. To obtain the continuous-time optimal state feedback gains, the constructed discrete-time fuzzy system is converted into a continuous-time system. The developed optimal continuous-time control law is then convened into an equivalent slow-rate digital control law using the proposed digital redesign method. The proposed technique enables us to systematically and effective]y carry out framework for modeling and control of chaotic systems. The proposed method has been successfully applied for controlling the chaotic trajectories of Chua's circuit.

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Development of Matlab/Simulink Module for Voltage Flicker Simulation in Distribution Power Systems

  • Cho, Soo-Hwan;Jung, Jae-Ahn;Jang, Gil-Soo;Kwon, Sae-Hyuk;Kang, Moon-Ho
    • Journal of Electrical Engineering and Technology
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    • 제3권3호
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    • pp.314-319
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    • 2008
  • Power quality simulation plays an important role in many practical cases, for example, when deciding the capacity of the related mitigation devices, assessing the influence of installing a nonlinear load in the distribution part, dissolving the quality issues between utilities and customers, and so on. For these purposes, many dedicated tools have been used in order to assess the level of quality distortions by various kinds of PQ indices. However, there are few modules that can accurately simulate the flicker phenomenon, that is, $P_{st}$ and the nonlinear and chaotic behavior of the electrical arc furnace, which is one of the representative nonlinear loads. This paper deals with the useful and simple modules for the voltage flicker simulation in the distribution and transmission level under the environment of Matlab/Simulink. With these modules, the various conditions of distribution systems and the capacities of arc furnaces with the chaotic characteristic can be easily taken into account.