• 제목/요약/키워드: lyapunov

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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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PMSM Servo Drive for V-Belt Continuously Variable Transmission System Using Hybrid Recurrent Chebyshev NN Control System

  • Lin, Chih-Hong
    • Journal of Electrical Engineering and Technology
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    • 제10권1호
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    • pp.408-421
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    • 2015
  • Because the wheel of V-belt continuously variable transmission (CVT) system driven by permanent magnet synchronous motor (PMSM) has much unknown nonlinear and time-varying characteristics, the better control performance design for the linear control design is a time consuming job. In order to overcome difficulties for design of the linear controllers, a hybrid recurrent Chebyshev neural network (NN) control system is proposed to control for a PMSM servo-driven V-belt CVT system under the occurrence of the lumped nonlinear load disturbances. The hybrid recurrent Chebyshev NN control system consists of an inspector control, a recurrent Chebyshev NN control with adaptive law and a recouped control. Moreover, the online parameters tuning methodology of adaptive law in the recurrent Chebyshev NN can be derived according to the Lyapunov stability theorem and the gradient descent method. Furthermore, the optimal learning rate of the parameters based on discrete-type Lyapunov function is derived to achieve fast convergence. The recurrent Chebyshev NN with fast convergence has the online learning ability to respond to the system's nonlinear and time-varying behaviors. Finally, to show the effectiveness of the proposed control scheme, comparative studies are demonstrated by experimental results.

슬라이딩 모드 제어와 스위칭 기법에 기반한 수상함의 경로 추종 제어기 설계 (Path Tracking Controller Design for Surface Vessel Based on Sliding Mode Control Method with Switching Law)

  • 이준구
    • 한국군사과학기술학회지
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    • 제20권1호
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    • pp.108-118
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    • 2017
  • In this paper, the path tracking controller for a surface vessel based on the sliding mode control (SMC) with the switching law is proposed. In order to have no restriction on movement and improved tracking performance, the proposed control system is developed as follows: First, the kinematic and dynamic models in Cartesian coordinates are considered to solve the singularity problem at the origin. Second, the new multiple sliding surfaces are designed with the SMC and approach angle concept to solve the under-actuated property. Third, the switching control system is designed to improve tracking performance. To prove the stability of the proposed switching system under the arbitrary switching, the Lyapunov stability analysis method with the common Lyapunov function is used. Finally, the computer simulations are performed to demonstrate the performance, effectiveness and stability of the proposed tracking controller of a surface vessel.

전방십자인대 재건수술 환자와 정상인의 보행 연구 (Gait Study on the Normal and ACL Deficient Patients After Ligament Reconstruction Surgery Using Chaos Analysis Method)

  • 고재훈;문병영;서정탁;손권
    • 대한기계학회논문집A
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    • 제30권4호
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    • pp.435-441
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    • 2006
  • The anterior cruciate ligament(ACL) is an important stabilizer of knee joint. The ACL injury of knee is common and a serious ACL injury leads to ligament reconstruction surgery. Gait analysis is essential to identify knee condition of patients who display abnormal gait. The purpose of this study is to evaluate and classify knee condition of ACL deficient patients using a nonlinear dynamic method. The nonlinear method focuses on understanding how variations in the gait pattern change over time. The experiments were carried out for 17 subjects(l2 healthy subjects and five subjects with unilateral deficiency) walking on a motorized treadmill for 100 seconds. Three dimensional kinematics of the lower extremity were collected by using four cameras and KWON 3D motion analysis system. The largest Lyapunov exponent calculated from knee joint flexion-extension time series was used to quantify knee stability. The results revealed the difference between healthy subjects and patients. The deficient knee was significantly unstable compared with the contralateral knee. This study suggests an evaluation scheme of the severity of injury and the level of recovery. The proposed Lyapunov exponent can be used in rehabilitation and diagnosis of recoverable patients.

파라미터에 종속적인 리아푸노프 함수 기법에 의한 불확실 시간지연 시스템을 위한 강인한 $L_2-L_{\infty}$ 필터 설계 (Robust $L_2-L_{\infty}$ Filter Design for Uncertain Time-Delay Systems via a Parameter-Dependent Lyapunov Function Approach)

  • 최현철;정진우;심형보;서진헌
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2008년도 학술대회 논문집 정보 및 제어부문
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    • pp.177-178
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    • 2008
  • An LMI-based method for robust $L_2-L_{\infty}$ filter design is proposed for poly topic uncertain time-delay systems. By using the Projection Lemma and a suitable linearizing transformation, a strict LMI condition for $L_2-L_{\infty}$ filter design is obtained, which does not involve any iterations for design-parameter search, any couplings between the Lyapunov and system matrices, nor any system-dependent filter parameterization. Therefore, the proposed condition enables one to easily adopt, with help of efficient numerical solvers, a parameter-dependent Lyapunov function approach for reducing conservatism, and to design both robust and parameter-dependent filters for uncertain and parameter-dependent time-delay systems, respectively.

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Highly Efficient Control of the Doubly Fed Induction Motor

  • Drid, Said;Makouf, Abdesslam;Nait-Said, Mohamed-Said;Tadjine, Mohamed
    • Journal of Electrical Engineering and Technology
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    • 제2권4호
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    • pp.478-484
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    • 2007
  • This paper deals with the high efficient vector control for the reduction of copper losses of the doubly fed motor. Firstly, the feedback linearization control based on Lyapunov approach is employed to design the underlying controller achieving the double fluxes orientation. The fluxes# controllers are designed independently of the speed. The speed controller is designed using the Lyapunov method especially employed to the unknown load torques. The global asymptotic stability of the overall system is theoretically proven. Secondly, a new Torque Copper Losses Factor is proposed to deal with the problem of the machine copper losses. Its main function is to optimize the torque in keeping the machine saturation at an acceptable level. This leads to a reduction in machine currents and therefore their accompanied copper losses guaranteeing improved machine efficiency. The simulation and experimental results in comparative presentation confirm largely the effectiveness of the proposed DFIM control with a very interesting energy saving contribution.

On the Stability of Critical Point for Positive Systems and Its Applications to Biological Systems

  • Lee, Joo-Won;Jo, Nam Hoon;Shim, Hyungbo;Son, Young Ik
    • Journal of Electrical Engineering and Technology
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    • 제8권6호
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    • pp.1530-1541
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    • 2013
  • The coexistence and extinction of species are important concepts for biological systems and can be distinguished by an investigation of stability. When determining local stability of nonlinear systems, Lyapunov indirect method based on the Jacobian linearization has been widely employed due to its simplicity. Despite such popularity, it is not applicable to singular systems whose Jacobian has at least one eigenvalue that is equal to zero. In such singular cases, an appropriate Lyapunov function should be sought to determine the stability of systems, which is rather difficult and quite involved. In this paper, we seek for a simple criterion to determine stability of the equilibrium that is located at the boundary of the positive orthant, when one of eigenvalues of the Jacobian is zero. The goal of the paper is to present a generalized condition for the equilibrium to attract all trajectories that starting from initial condition in the positive orthant and near the equilibrium. Unlike the Lyapunov direct method, the proposed method requires just a simple algebraic computation for checking the stability of the critical point. Our approach is applied to various biological systems to show the effectiveness of the proposed method.

다비행체 편대비행을 위한 유도법칙 및 시뮬레이션에 관한 연구 (A Study on Guidance Law Design and Simulation of Multiple UAV Formation Flying)

  • 노태수;전경언
    • 한국항공우주학회지
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    • 제36권9호
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    • pp.859-866
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    • 2008
  • 본 논문에서는 다수 비행체의 편대 비행 시 상호 기하학적 관계 유지에 필요한 유도 법칙과 비선형 시뮬레이션 결과를 제시하였다. 편대 내의 각 비행체는 편대 Leader를 제외하고 모두 Leader와 Follower의 역할을 동시에 맡으며, Leader에 의한 명령은 모든 Follower에게 분배되고 따라서 편대를 이루는 모든 비행체들의 동시기동비행(Synchronized Flight)을 가능하게 한다. 편대 비행 유도 법칙은 가까운 미래 시각에 예상되는 기하학적 오차 그리고 Lyapunov 안정성 이론에 근거하여 도출하였고, 정찰과 감시 임무 예제에 관한 고정밀 비선형 시뮬레이션 결과를 통하여 제안된 유도 법칙의 성능을 검증하였다

구조적 불확실성을 갖는 비선형 시스템의 역최적제어 (Inverse optimal control of nonlinear systems with structural uncertainty)

  • 이상훈;김진수;이종용
    • 한국산학기술학회논문지
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    • 제10권10호
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    • pp.2651-2659
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    • 2009
  • 본 논문에서는 구조적 불확실성을 갖는 비선형 시스템에 대한 역 최적 제어를 고려하였다. 먼저 불확실성의 구조적 범위를 논의하고, 제어 Lyapunov 함수를 기초로, 불확실성을 가지는 비선형시스템에 대한 대역적 점근적 안정도를 제안하고 증명한다. 이로부터 역 최적 제어를 위한 최저의 제약조건을 유도하고 증명한다. 이 결과를 이용하여 불확실성을 갖는 비선형시스템에 적용하였으며, 제안된 방법의 효율성을 검증하기 위하여 시뮬레이션을 하였다.

오스테나이트계 스테인리스강 304 용접부의 초음파 형상 인식 평가를 위한 카오스 시뮬레이터의 구축 (Construction fo chaos simulator for ultrasonic pattern recognition evaluation of weld zone in austenitic stainless steel 304)

  • 이원;윤인식;장영권
    • Journal of Welding and Joining
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    • 제16권5호
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    • pp.108-118
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    • 1998
  • This study proposes th analysis and evaluation method of time series ultrasonic signal using the chaos feature extraction for ultrasonic pattern recognition. Features extracted from time series data using the chaos time series signal analyze quantitatively weld defects. For this purpose, analysis objective in this study is fractal dimension and Lyapunov exponent. Trajectory changes in the strange attractor indicated that even same type of defects carried substantial difference in chaosity resulting from distance shifts such as 0.5 and 1.0 skip distance. Such differences in chaosity enables the evaluation of unique features of defects in the weld zone. In quantitative chaos feature extraction, feature values of 4.511 and 0.091 in the case of side hole and 4.539 and 0.115 in the case of vertical hole were proposed on the basis of fractal dimension and Lyapunov exponent. Proposed chaos feature extraction in this study can enhances ultrasonic pattern recognition results from defect signals of weld zone such as side hole and vertical hole.

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