• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2003년도 춘계학술대회논문집
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• pp.495-500
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• 2003

The vibration of a flexible cantilever tube with nonlinear constraints when it is subjected to flow internally with fluids is examined by experiment and theoretical analysis. These kind of studies have often been performed that finds the existence of chaotic motion. In this paper, the important parameters of the system leading to such a chaotic motion such as Young's modulus and coefficient of viscoelasticity in tube material are discussed. The parameters are investigated by means of a system identification so that comparisons are made between numerical analysis using the parameters of a handbook and the experimental results. The chaotic region led by several period-doubling bifurcations beyond the Hopf bifurcation is also re-established with phase portraits and bifurcation diagram so that one can define optimal parameters for system design.

• 전자공학회논문지C
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• 제35C권10호
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• pp.12-21
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• 1998

혼돈신호를 사용하여 복극 4레벨 데이타 방식에 의한 혼돈 대역확산 계통을 설계·구현하였다. 송신부는 기본적인 혼돈신호 발생기인 Chua 회로를 네 개 사용하여 네가지 체배 관계의 신호들을 결합동기 방식으로 발생시켰으며, 수신부는 송신부와 구동동기 방식으로 연결하여 신호를 복원시켰다. 정보 신호의 주파수 대역확산은 혼돈신호 자체에 의해 이루어지므로 기존의 대역확산 통신계통 보다 구성이 간단해 진다.

• 한국정보통신학회논문지
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• 제22권12호
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• pp.1698-1704
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• 2018

본 논문에서는 암호통신 응용을 위한 로렌츠 카오스 회로를 구현한다. 이산형 카오스 로렌츠 시스템을 구현하기 위하여, PIC18F 계열의 마이크로 콘트롤러가 사용되었으며, 제안하는 카오스 회로는, 연산증폭기 기반 아날로그 회로와는 다르게, 8 비트PIC 마이크로 콘트롤러 칩과 3개 R-2R 타입의 디지털-아날로그 변환기로 이루어진다. 마이크로 컨트롤러 포트 B, C 및 D에서 시간 파형 X, Y 및 Z가 출력되도록 하였다. 모의실험을 위하여 MATLAB 및 PROTEUS 소프트웨어 플랫폼이 사용되었다. 제안하는 회로에 대하여, MATLAB 및 프로테우스 프로그램에 의한 모의실험을 통하여 시간파형, 주파수 특성, 2차원 위상특성 해석을 실시하였다. 최종적으로, 카오스 시간파형, 2차원(2D) 어트랙터 가 얻어졌고, 카오스 신호에 기반한 아날로그 신호의 암호통신 검증을 실험을 통하여 확인 하였다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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• pp.453-456
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• 1996

In this paper, the direct adaptive control using neural networks is presented for the control of chaotic nonlinear systems. The direct adaptive control method has an advantage that the additional system identification procedure is not necessary. In order to evaluate the performance of our controller design method, two direct adaptive control methods are applied to a Duffing's equation and a Lorenz equation which are continuous-time chaotic systems. Our simulation results show the effectiveness of the controllers.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 1998년도 하계종합학술대회논문집
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• pp.263-266
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• 1998

This paper propose a prefilter type inverse control algorithm using chaotic neural networks. Since the chaotic neural networks show robust characteristics in approximation and adaptive learning for nonlinear dynamic system, the chaotic neural networks are suitable for controlling robotic manipulators. The structure of the proposed prefilter type controller compensate velocity of the PD controller. To estimate the proposed controller, we implemented to the Cartesian space control of three-axis PUMA robot and compared the final result with recurrent neural network(RNN) controller.

• 전기학회논문지
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• 제58권6호
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• pp.1215-1222
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• 2009

In this paper, a method of designing a controller which ensures the synchronization between the transmission and the reception ends of chaotic secure communication systems with interval time-varying delays is proposed. To increase communication security, the transmitted message is encrypted with the techniques of N-shift cipher and public key. And to reduce the conservatism of the stabilization criterion for error dynamic system obtained from the transmitter and receiver, a new Lyapunov-functional and bounding technique are proposed. Through a numerical example, the effectiveness of the proposed method is shown in the chaotic secure communication system.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.172.4-172
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• 2001

In this paper, the Generalized Predictive Control(GPC) method based on Fuzzy Neural Networks(FNNs) is presented for the control of chaotic nonlinear systems without precise mathematical models. In our method, FNNs is used as the predictor whose parameters are tuned by the error between the actual output of nonlinear chaotic system and that of FNNs model. The parameters of GPC controller are adjusted via the gradient descent method where the difference between the actual output and the reference signal is used as a control error. Finally, computer simulation on the representative continuous-time chaotic system(Duffing system) is presented to demonstrate the effectiveness of our chaos control method.

• 한국통신학회논문지
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• 제19권7호
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• pp.1414-1420
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• 1994

dead beat 제어법칙을 적용한 적응기구에 존재하는 혼돈신호가 일정한 규칙성과 질서를 갖는다는 특성을 이용하여 낮은 상관관계를 갖는 동적 관계식을 도입하여 반복 추종함으로서 추종오차를 줄이고 제어성능을 향상시킬 수 있었다. 또한 이러한 적응제어를 적용한 경우에도 혼돈현상을 보이는 것을 1) Time series 2) Fourier spectrum 3) Phase portrait 4) Lyapunov exponent 등의 방법을 통하여 증명하고 그 특징을 규명해 보였다.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• 제22권3호
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• pp.179-199
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• 2018

The paper explores a tri-trophic food chain model with density dependent mortality of intermediate predator. To analyze this aspect, we have worked out the local stability of different equilibrium points. We have also derived the conditions for global stability of interior equilibrium point and conditions for persistence of model system. To observe the global behaviour of the system, we performed extensive numerical simulations. Our simulation results reveal that chaotic dynamics is produced for increasing value of half-saturation constant. We have also observed trajectory motions around different equilibrium points. It is noticed that chaotic dynamics has been controlled by increasing value of density dependent mortality parameter. So, we conclude that the density dependent mortality parameter can be used to control chaotic dynamics. We also applied basic tools of nonlinear dynamics such as Poincare section and Lyapunov exponent to investigate chaotic behaviour of the system.

• 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.