Shimiza-Morioka系统异宿轨道存在性证明

针对 Shimiza-Morioka系统用待定系数法证明了其系统中存在异宿轨道的存在性。首先将Shimiza-Morioka系统转换为只含一个变量的非性线微分方程; 然后证明该非线性微分方程存在一个指数形式的无穷级数展开式表示的异宿轨道; 最后证明了该无穷级数展开式一致收敛性, 结合Si'lnikov不等式, 证明了该系统中存在Smale马蹄, 因而是Si'lnikov意义下的混沌。最终, 异宿轨道决定Shimiza-Morioka系统中混沌吸引子的几何结构。     

温度变化对悬索全局动力学特性影响

索是一类工程中常用的张力结构,其柔度大、阻尼轻,在各类外部荷载作用或端部位移激励下极易发生大幅振动,影响结构安全运营.已有研究表明悬索的振动特性对于温度变化极为敏感,因此本文同时考虑支座运动引起的参数共振以及模态间1∶2内共振,基于全局分岔理论,系统探究温度变化对悬索全局动力学行为的影响.首先引入张力改变系数,建立考虑整体温度变化影响与受参数激励悬索的面内非线性运动微分方程.采用Galerkin法进行离散,利用多尺度法得到该非线性系统直角坐标形式的平均方程,并基于坐标变换,将平均方程简化为规范形,采用能量相位法研究温度变化时悬索多脉冲混沌动力学行为.通过能量差函数的零点条件以及扰动系统下中心点的吸引域范围,分析激励幅值、阻尼系数和调谐参数的取值范围,并计算该四维系统的Lyapunov指数.研究结果表明：温度变化会影响系统Shilnikov型多脉冲同宿轨道的产生;随着温度变化,多脉冲同宿轨道可能消失,导致系统的混沌运动转变为周期运动;受温度变化影响,动力系统可能展现出截然不同的动力学行为.     

横向磁场中矩形薄板在分布载荷作用下混沌分析

在建立置于横向稳恒电磁场中,同时受横向均布载荷作用四边简支的金属矩形薄板的受力模型的基础上,推导了金属矩型薄板的磁弹性耦合动力学方程,求得了该模型振动系统的异宿轨道参数方程,并根据Melnikov函数方法,推导并求解了振动系统的异宿轨道的Melnikov函数,最后给出了判断该系统发生Smale马蹄变换意义下混沌运动的条件和混沌运动判据.由此可对矩形薄板在机械载荷和电磁载荷共同作用下的分岔和混沌进行分析.本文给出的方法可以推广到其他不同边界条件和不同外载荷条件下弹性薄板的磁弹性振动问题的研究.     

计及Casimir效应时旋转式NEMS致动器的动态稳定性研究

分析了Casimir力对旋转式纳电子机械(NEMS)致动器动态稳定性的影响.计及Casimir效应时,旋转式致动器失稳时的临界倾角和临界电压和结构的几何尺寸有关.外加电压为零时,导出了旋转式致动器在Casimir力作用下发生吸合的临界特征几何尺寸.给出了旋转式致动器的无量纲化运动控制方程,并对它作了定性分析.定性分析表明:该运动方程相应的自治系统在相平面上的平衡点包括中心点、稳定的焦点和不稳定的鞍点;相图呈现周期轨道、同宿轨道以及异宿轨道.另外系统还存在分叉现象.     

高斯白噪声激励下分数阶Duffing-Van der Pol系统的稳态响应

应用随机平均法研究了高斯白噪声激励下含有分数阶阻尼项的Duffing-Van der Pol系统的稳态响应.首先应用基于广义谐和函数的随机平均法得到系统关于幅值的平均伊藤微分方程并建立相应的平稳FPK方程,求解该平稳FPK方程的近似理论解得到系统幅值的稳态概率密度.分析幅值、位移和速度的稳态概率密度探究分数阶阻尼项以及其它参数对系统稳态响应的影响.发现降低分数阶的阶数可以增强系统的响应而增大分数阶的系数可以减弱系统响应.最后对原系统进行Monte Carlo数值模拟验证近似理论解的有效性.     

一类新四维二次系统的混沌运动

利用解析方法和数值方法研究了一新四维二次系统的混沌运动.严格给出了系统产生混沌运动的机理和相应的参数条件.利用待定系数法找出了系统的同宿轨道,并证明了轨道展开式的一致收敛性.由Si’lnikov判据,该系统存在Smale马蹄意义下的混沌.数值模拟验证了理论分析的结果.     

基于低频周期参数扰动统一混沌系统的分岔分析

本文以低频周期参数扰动下的统一混沌系统为研究对象,应用动力学基础知识,讨论了系统的平衡点的分布及其稳定性,得到了周期扰动系统的静态分岔和Hopf分岔的条件。根据Melnikov方法,计算得到了系统的同宿轨道,以及得到了系统发生同宿轨道分岔的条件。为了验证理论研究结果的正确性,本文采用数值模拟的方法进行了验证,结果表明,理论研究结果正确。本文的研究结果可以看作是对周期激励的Lorenz类系统和Chen类系统的总结,可以有助于混沌系统在计算机应用领域的推广和应用。     

含时滞轨道吸振器的建筑结构的动力学分析

本文研究了具有时滞轨道非线性吸振器的建筑结构的动力响应及其控制效果.采用谐波平衡法和弧长延拓法给出了简谐激励作用下主结构的幅频响应曲线,并与龙格库塔法的结果进行了对比.考察了不同参数情况下幅频曲线的变化情况,揭示了系统的复杂运动现象.结果表明,轨道非线性会导致幅频曲线向左偏转.时滞反馈控制能够降低主结构的位移幅值,并可抑制混沌响应.     

基于最大Lyapunov指数的行星齿轮传动系统混沌特性分析

为了分析行星齿轮系统的混沌特性,基于集中参数理论,考虑时变啮合刚度、齿隙和综合啮合误差等非线性因素,建立行星齿轮系统扭转振动模型.采用Runge-Kutta数值解法求解振动方程,利用分岔图和最大Lyapunov指数图分析系统随各种参数变化的分岔与混沌特性.数值仿真得出:随激励频率的增加,系统首先从周期运动进入阵发性混沌,再通过逆倍化分岔由混沌回到周期运动,之后再次通过跳跃激变和倍化分岔由周期运动进入混沌运动,最后通过逆倍化分岔稳定到1周期运动.随阻尼比的增加,系统通过逆倍化分岔由混沌运动进入周期运动.随综合啮合误差幅值、齿隙和刚度幅值分别增加的三种情况下,系统都是通过倍化分岔由周期运动进入混沌运动.随荷载的增加,系统通过跳跃激变和逆倍化分岔由混沌运动进入周期运动.以上分析结果可为行星齿轮系统参数设计提供理论依据.     

用Si’lnikov定理构造一个新的混沌系统

利用Si'lnikov定理构造一个含有平方项的三维混沌系统, 且系统有两个平衡点, 有一个是鞍焦平衡点, 构造的过程表明该混沌具有Smale马蹄(同宿轨混沌)。在满足同宿轨道Si'lnikov定理条件下可以找出大量的参数值, 使得系统处于混沌状态。数值仿真验证了该方法的有效性。最后, 用待定系数法找到系统中存在Smale马蹄, 因而是Si'lnikov意义下的混沌。     

Chaotic dynamics in quadratic systems with singular linear part

New existence conditions are found for homoclinic and heteroclinic orbits for systems of quadratic ordinary differential equations with singular linear part. Implementing these conditions together with Shilnikov’s theorems guarantees the existence of chaotic attractors in 3-D autonomous quadratic systems. The examples of the chaotic attractors are given.     

Numerical bifurcation and stability analysis of solitary pulses in an excitable reaction—diffusion medium

We present a systematic, computer-assisted study of the bifurcations and instabilities of solitary pulses in an excitable medium capable of displaying both stable pulse propagation and spatiotemporally chaotic dynamics over intervals of parameter space. The reaction—diffusion model used is of the activator-inhibitor type; only the activator diffuses in this medium. The control parameters are the ratio of time scales of the activator and inhibitor dynamics and the excitation threshold. This study focuses on travelling pulses, their domain of existence and the bifurcations that render them unstable. These pulses are approximated as: (a) homoclinic orbits in a travelling wave ODE frame; and (b) as solutions of the full partial differential equation (PDE) with periodic boundary conditions in large domains. A variety of bifurcations in the travelling wave ODE frame are observed (including heteroclinic loops, so-called T-points [A.R. Champneys and Y.A. Kuznetsov, Numerical detection and continuation of codimension-2 homoclinic bifurcations, Int. J. Bif. Chaos 4 (1994) 785; H. Kokobu, Homoclinic and heteroclinic bifurcations of vectorfields, Japan J. Appl. Math. 5 (1988) 455]). Instabilities in the full PDE frame include both Hopf bifurcations to modulated travelling waves (involving the discrete pulse spectrum) as well as transitions involving the continuous spectrum (such as the so-called ‘backfiring’ transition [M. Bär, M. Hildebrand, M. Eiswirth, M. Falcke, H. Engel and M. Neufeld, Chemical turbulence and standing waves in a surface reaction model: The influence of global coupling and wave instabilities, Chaos 4 (1994) 499]). The stability of modulated pulses is computed through numerical Floquet analysis and a cascade of period doubling bifurcations is observed, as well as certain global bifurcations. These results, corroborated by observations from direct numerical integration, provide a ‘skeleton’ around which many features of the overall complex spatiotemporal dynamics of the PDE are organized.     

On Melnikov's method in the study of chaotic motions of gyrostat

The homoclinic solutions of the attitude motion of a gyrostat with wheels along its principal axes are formulated using the procedure developed by Wittenburg. The generic Melnikov function for the attitude motion of a gyrostat subject to small non-linear damping torques and small periodic torques is derived. The derivation is based on the chaotic theory for a 'one and half' degrees of freedom system established by Wiggins and Shaw. The conditions for the physical parameters at the onset of the homoclinic solutions are given in detail. The chaotic criteria are investigated using Melnikov's function. In particular, the conditions of the physical parameters (moments of inertia, damping coefficients, amplitudes and frequencies of external excitation, moments of momentum of wheels) that ensure the convergence of Melnikov's integral are also worked out. In order to acquire some knowledge of long-term behaviours of the chaotic attitude motion, the fourth-order Runge-Kutta numerical algorithms are utilized to simulate its dynamics. The numerical experiment shows that the chaotic motions of the gyrostat are bounded, non-periodic and sensitive to initial conditions. One of the practical mechanical models of the gyrostat is the artificial satellite. The attitude motion of the three-axis stabilized gyrostat satellite, whose torque-free motion is the homoclinic orbits, will oscillate chaotically when it is subjected to the appropriate external disturbances.     

船舶航向保持中的混沌运动控制

针对船舶航行中的混沌运动控制问题,从船舶操纵运动非线性模型入手,提出了一种基于受控混沌系统Melnikov函数的矩形脉冲微扰控制方法。控制方法利用矩形脉冲对混沌系统参量进行微扰控制。通过求解混沌系统的同宿轨道,构造受控混沌系统的Melnikov函数,结合Melnikov函数简单零点出现的边界条件以数学的方法确定微扰脉冲参数的取值,避免了实施混沌控制时控制脉冲参数选择的盲目性。船舶混沌运动控制的仿真实验显示,所提方法能将系统混沌运动快速稳定至周期轨道上,且其振幅降为原混沌系统的8.5%;同时实验结果表明了所提方法在船舶混沌运动控制中的有效性。     

Notch filter feedback control in a class of chaotic systems

The paper focuses on the problem of the notch filter feedback control in the perturbed planar Hamiltonian systems. By Melnikov's method, a suitable range of parameters in the notch filter controller can be obtained to convert chaotic motions into desired low-period motions. The averaging method is introduced to analyze the stability of the low-period orbits, the subharmonic orbits inside the homoclinic loop, in the control systems. As a typical example, the design procedure for controlling Duffing's oscillator and its stability analysis are derived in detail, and the thorough simulation results are presented to demonstrate the effectiveness of the theoretical analysis. Finally, the further examples show the applicability of the notch filter controller in a wide range of chaotic systems and hyper-chaotic systems.     

Attractor switching by neural control of chaotic neurodynamics

Chaotic attractors of discrete-time neural networks include infinitely many unstable periodic orbits, which can be stabilized by small parameter changes in a feedback control. Here we explore the control of unstable periodic orbits in a chaotic neural network with only two neurons. Analytically, a local control algorithm is derived on the basis of least squares minimization of the future deviations between actual system states and the desired orbit. This delayed control allows a consistent neural implementation, i.e. the same types of neurons are used for chaotic and controlling modules. The control signal is realized with one layer of neurons, allowing selective switching between different stabilized periodic orbits. For chaotic modules with noise, random switching between different periodic orbits is observed.     

Adaptive competitive self-organizing associative memory

This work presents the design of an adaptive competitive self-organizing associative memory (ACSAM) system for use in classification and recognition of pattern information. Volterra and Lotka's models of interacting species in biology motivated the ACSAM model; a model based on a system of nonlinear ordinary differential equations (ODEs). Self-organizing behavior is modeled for unsupervised neural networks employing the concept of interacting/competing species in biology. In this model, self-organizing properties can be implicitly coded within the systems trajectory structure using only ODEs. Among the features of this continuous-time system are: 1) the dynamic behavior is well-understood and characterized; 2) the desired fixed points are the only asymptotically stable states of the system; 3) the trajectories of ACSAM derived from the weight activities of the gradient system have no periodic or homoclinic orbits; and 4) the heteroclinic orbits that exist between equilibrium states are structurally unstable and can be removed by small perturbations.     

Effect of noise on chaotic behavior in Roessler-type nonlinear system

The effects of noise on chaotic behaviors of a nonlinear dynamic model were described from a point of view of the system analysis and the previous studies associated with chaos and noise were reviewed as well. The quasi-white noise was used as the observation noise as well as the system noise to clarify the deterioration of the chaotic patterns of the Roessler model. The effects of the noise intensity on the chaotic signal were observed through the deformation of the attractors, increase of the correlation dimension, and change of the maximum Lyapunov exponent. It has been found that the deterioration of the chaotic patterns is more pronounced in the case of the observation noise than the system noise for the Roessler model. As an example of noisy time series data, the laser speckles time series data was employed and discussed from the point of view of the necessity of noise reduction and possible chaos extraction. © 1997 John Wiley & Sons, Inc.