圆柱绕流的非线性动力学

本文利用非线性动力学的概念和方法来研究粘性不可压缩流体的二维圆柱绕流问题．计算了定常流失稳以及出现混沌的临界雷诺数,并估计了混沌解的一些统计特征．     

Impulsive control of chaotic attractors in nonlinear chaotic systems

Based on the study from both domestic and abroad, an impulsive control scheme on chaotic attractors in one kind of chaotic system is presented. By applying impulsive control theory of the universal equation, the asymptotically stable condition of impulsive control on chaotic attractors in such kind of nonlinear chaotic system has been deduced, andwith it, the upper bond of the impulse interval for asymptotically stable control was given.Numerical results are presented, which are considered with important reference value for control of chaotic attractors.     

磁场中轴向运动条形板强非线性超谐共振及混沌运动

针对磁场环境中周期外载作用下轴向运动导电条形板的非线性振动及混沌运动问题进行研究.应用改进多尺度法对横向磁场中条形板的强非线性振动问题进行求解,得到超谐波共振下系统的分岔响应方程.根据奇异性理论对非线性动力学系统的普适开折进行分析,求得含两个开折参数的转迁集及对应区域的拓扑结构分岔图.通过数值算例,分别得到以磁感应强度、轴向拉力、激励力幅值和激励频率为分岔控制参数的分岔图和最大李雅普诺夫指数图,以及反映不同运动行为区域的动力学响应图形,讨论分岔参数对系统呈现的倍周期和混沌运动的影响.结果表明,可通过相应参数的改变实现对系统复杂动力学行为的控制.     

复合随机振动分析的自适应回归算法

基于虚拟激励法(PEM)和广义多项式混沌展开(gPC)提出一种求解复合随机振动问题的自适应回归算法。通过求解随机系统在虚拟激励下的运动方程得到本文所关注的随机物理响应,并将其在以不确定参数为自变量的正交多项式函数空间内展开,应用自适应采样与自适应基函数筛选相结合的回归算法确定多项式基函数系数,进而给出随机响应的概率特征。本文方法是一种非介入算法,不需要改变控制方程的求解维度,便于使用既有的求解程序进行分析。数值算例中,对具有不确定参数的车轨耦合系统在随机轨道不平顺激励下的随机振动响应进行分析,将计算结果与50000样本Monte Carlo法进行了比对验证,相对误差不足1%,表明了本文方法具有很好的工程应用前景。     

Chaos synchronization based on intermittent state observer

This paper describes the method of synchronizing slave to the master trajectory using an intermittent state observer by constructing a synchronizer which drives the response system globally tracing the driving system asymptotically. It has been shown from the theory of synchronization error-analysis that a satisfactory result of chaos synchronization is expected under an appropriate intermittent period and state observer. Compared with continuous control method, the proposed intermittent method can target the desired orbit more efficiently. The application of the method is demonstrated on the hyperchaotic R?ssler systems. Numerical simulations show that the length of the synchronization interval τ_s is of crucial importance for our scheme, and the method is robust with respect to parameter mismatch.     

混沌-脉冲混合信号光时域反射仪

研制了一种混沌-脉冲混合信号光时域反射仪,其工作原理是通过连续混沌光与离散脉冲光分别对光纤中的菲涅尔反射与后向瑞利散射进行高精度测量,将2次测量结果进行线性叠加得到光纤故障测量曲线,该仪器解决了传统混沌光时域反射仪无法测量光纤损耗事件的问题。实验中利用G.652.B单模光纤作为被测对象,对该仪器进行了实际测试,测试结果表明:所研制的混沌-脉冲混合信号光时域反射仪在104 km测量范围内实现了与距离无关的35 cm空间分辨率测量,对光纤损耗事件也有良好的检测效果。     

Linear matrix inequality approach to exponential synchronization of a class of chaotic neural networks with time-varying delays

In this paper, a synchronization scheme for a class of chaotic neural networks with time-varying delays is presented. This class of chaotic neural networks covers several well-known neural networks, such as Hopfield neural networks, cellular neural networks, and bidirectional associative memory networks. The obtained criteria are expressed in terms of linear matrix inequalities, thus they can be efficiently verified. A comparison between our results and the previous results shows that our results are less restrictive.     

A Kind of Exact Inflationary Solution in the Chaotic Inflation Model to Non-minimally Coupled Scalar Field

We present a kind of exact inflationary solution in the chaotic inflation scenario to non-minimal coupled scalar field, taking the Hubble parameter directly as a function of the scalar field φ, H（φ） = αφ^n. Using the analysis of the WMAP3 data, we give the range of power index n.     

Global stabilization of a Lorenz system

In this paper,using feedback linearizing technique,we show that a Lorenz system can be considered as a cascade system.Moreover,this system satisfies the assumptions of global stabilization of casecade systems.Thus coninuous state feedback control laws are proposed to globally stabilize the Lorenz system at the equilibrium point.Simulation results are presented to verify our method.This method can be further generalized to other chaotic systems such as Chen system,coupled dynamos system,etc.