磁性刚体航天器的混沌姿态运动

研究在地球万有引力场和磁场中的磁性刚体航天器在圆轨道上的混沌姿态运动。利用动量矩原理建立了系统的动力学模型。应用Melnikov方法证明了存在复杂非游荡Cantor集。分别采用时间历程、功率谱、Poincaré映射和Liapunov指数对系统动力学行为进行了数值研究。数值仿真表明,随着磁场力矩的增强,系统准周期环面破裂而出现混沌。     

Couette-Taylor流三模系统的混沌行为及其仿真

研究了旋流式Couette-Taylor流三模态类Lorenz系统的动力学行为及其数值仿真问题.给出了此系统平衡点存在的条件,证明了其吸引子的存在性,给出了吸引子的Hausdorff维数上界的估计,数值模拟了系统分歧和混沌等的动力学行为发生的全过程,基于分岔图与最大Lyapunov指数谱和庞加莱截面以及功率谱和返回映射等仿真结果揭示了此系统混沌行为的普适特征.     

一类新混沌系统的几何分析

基于Poincare紧致化技术,分析一类三维混沌系统的全局动力学行为.研究表明系统在无穷远处的奇点高度退化且不稳定.该文也通过设计一个不改变系统奇点结构的线性控制器,构造了一个受控系统,研究发现受控系统在特定参数组条件下,存在一簇退化奇异异宿轨.结合数值仿真结果,论文指出,当参数b和c发生微小扰动时,受控系统异宿环破裂,产生新的混沌吸引子.希冀这些研究对解释系统混沌几何机理能提供有益帮助。     

一类Sprott-O混沌系统的H_∞状态控制和自适应控制研究

研究了一类Sprott-O混沌系统的H_∞状态反馈控制和自适应反推控制问题.首先,通过绘制系统的Lyapunov指数图、混沌吸引子图及参数变化时的分岔图等验证了系统在一定参数条件下具有的复杂混沌动力学行为;然后,分别应用H_∞状态反馈控制方法和自适应反推控制方法设计不同的控制器,对混沌系统加以控制;最后,通过数值仿真验证了所设计控制器的有效性.     

离散系统的广义混沌控制

针对确定性离散动力学系统的混沌控制与反控制问题,从配置Lyapunov指数出发,提出一种实现混沌控制与反控制的一般性方法.首先给出了受控系统混沌判断的特征值条件,满足该条件的系统,将产生Devaney意义下的混沌和Li-Yorke意义下的混沌.然后通过引入非对角型反馈来调整系统雅可比矩阵元素,灵活配置系统Lyapunov指数的数值和符号,从而实现离散系统的混沌控制或反控制.给出了必要的证明和仿真实例,仿真结果表明了算法的有效性.     

新三维非线性系统的动力学分析

通过代数方法,构造出来一个具有复杂混沌吸引子的非线性混沌自治三维系统．从理论和数值两方面对吸引子进行了分析和仿真,得到了系统在平衡点处不稳定的参数范围．通过分岔图和Lyapunov指数谱进一步揭示了系统丰富的动力学行为.     

平面不可压缩磁流体动力学五模类Lorenz方程组的动力学行为及其数值仿真北大核心CSCD

该文研究了平面正方形区域上不可压缩的磁流体动力学方程组五模截断所得到的十维模型的动力学行为问题.首先,利用模式截断方法推导了十模系统,讨论了该方程组定常解及其稳定性,其次,发现了Hopf分叉和混沌,证明了该方程组吸引子的存在性和全局稳定性,最后,给出了系统从分叉到混沌整个过程所呈现的动力学行为演变的详细数值模拟结果,分析了磁性对系统动力学行为的影响.基于分岔图、Lyapunov指数谱和庞加莱截面图,返回映射和功率谱等数值模拟结果揭示了这个低维系统的动力学行为特征.这个新混沌系统通过周期倍分岔过渡到混沌(费根鲍姆途径).     

加控制器的预估-校正算法在分数阶Chen混沌系统中的实现

讨论了分数阶预估-校正算法,并选定了对Chen混沌系统进行仿真研究.分数阶Chen混沌系统在一定的初始条件下,系统为混沌的并且仍然呈现出丰富和复杂的分数阶混沌动力学行为.在分数阶预估-校正法的基础上,用分段二次函数对Chen混沌系统方程施加控制器,使Chen混沌系统能够渐进稳定到平衡点.最后在MATLAB软件上进行仿真,得到分数阶Chen混沌系统的数值仿真稳定相图.     

平面不可压缩磁流体动力学五模类Lorenz方程组的动力学行为及其数值仿真

该文研究了平面正方形区域上不可压缩的磁流体动力学方程组五模截断所得到的十维模型的动力学行为问题.首先,利用模式截断方法推导了十模系统,讨论了该方程组定常解及其稳定性,其次,发现了Hopf分叉和混沌,证明了该方程组吸引子的存在性和全局稳定性,最后,给出了系统从分叉到混沌整个过程所呈现的动力学行为演变的详细数值模拟结果,分析了磁性对系统动力学行为的影响.基于分岔图、Lyapunov指数谱和庞加莱截面图,返回映射和功率谱等数值模拟结果揭示了这个低维系统的动力学行为特征.这个新混沌系统通过周期倍分岔过渡到混沌(费根鲍姆途径).     

一个新混沌系统及错位投影同步通讯方案

提出了一个新的混沌系统,该系统含有五个参数,每个状态方程均含有非线性乘积项.通过理论推导,数值仿真,Lyapunov指数、Lyapunov维数、分岔图研究其基本的动力学特性,并分析了改变参数时系统的动力学行为的变化.本文研究了该系统的错位投影同步,设计了非线性控制器,实现了两个初值不同的新系统的错位投影同步.另外,将该系统及错位投影同步方法应用到保密通信中,基于改进的混沌掩盖通讯原理,在发送端使用新系统信号对信息信号进行加密及传送,最后在同步后的接收端不失真地恢复出有用信号.数值仿真表明所设计的新的混沌系统具有复杂的动力学特性,适用于保密通讯.     

Chaotic convection in a ferrofluid

We report theoretical and numerical results on thermally driven convection of a magnetic suspension. The magnetic properties can be modeled as those of electrically non-conducting superparamagnets. We perform a truncated Galerkin expansion finding that the system can be described by a generalized Lorenz model. We characterize the dynamical system using different criteria such as Fourier power spectrum, bifurcation diagrams, and Lyapunov exponents. We find that the system exhibits multiple transitions between regular and chaotic behaviors in the parameter space. Transient chaotic behavior in time can be found slightly below their linear instability threshold of the stationary state.     

Chaotic motion of magnetotactic bacteria

The motion of a magnetotactic bacterium submitted to an oscillating magnetic field was studied. The nature of the U-turn process, which occurred when the magnetic field was reversed, was investigated. It is analytically shown that this process presents a chaotic behavior. When the magnetic field is reversed the bacterium may decide if the turning will be to the right side or to the left side. Such choice is highly sensitive to the initial conditions, making it impossible to predict which side will be taken in the U-turn.     

Chaos in a four-dimensional system consisting of fundamental lag elements and the relation to the system eigenvalues

A simple system consisting of a second-order lag element (a damped linear pendulum) and two first-order lag elements with piecewise-linear static feedback that has been derived from a power system model is presented. It exhibits chaotic behavior for a wide range of parameter values. The analysis of the bifurcations and the chaotic behavior are presented with qualitative estimation of the parameter values for which the chaotic behavior is observed. Several characteristics like scalability of the attractor and globality of the attractor-basin are also discussed.     

Energy growth for a nonlinear oscillator coupled to a monochromatic wave

A system consisting of a chaotic (billiard-like) oscillator coupled to a linear wave equation in the three-dimensional space is considered. It is shown that the chaotic behavior of the oscillator can cause the transfer of energy from a monochromatic wave to the oscillator, whose energy can grow without bound.     

Dynamic complexities in a parasitoid-host-parasitoid ecological model

Chaotic dynamics have been observed in a wide range of population models. In this study, the complex dynamics in a discrete-time ecological model of parasitoid-host-parasitoid are presented. The model shows that the superiority coefficient not only stabilizes the dynamics, but may strongly destabilize them as well. Many forms of complex dynamics were observed, including pitchfork bifurcation with quasi-periodicity, period-doubling cascade, chaotic crisis, chaotic bands with narrow or wide periodic window, intermittent chaos, and supertransient behavior. Furthermore, computation of the largest Lyapunov exponent demonstrated the chaotic dynamic behavior of the model.     

Nonlinear chaos control in a permanent magnet reluctance machine

The dynamics of a permanent magnet synchronous machine (PMSM) is analyzed. The study shows that under certain conditions the PMSM is experiencing chaotic behavior. To control these unwanted chaotic oscillations, a nonlinear controller based on the backstepping nonlinear control theory is designed. The objective of the designed control is to stabilize the output chaotic trajectory by forcing it to the nearest constant solution in the basin of attraction. The result is compared with a nonlinear sliding mode controller. The designed controller that based on backstepping nonlinear control was able to eliminate the chaotic oscillations. Also the study shows that the designed controller is mush better than the sliding mode control.     

Reciprocal inhibitory coupling: Measure and control of chaos on a biophysically motivated model of bursting

Bursting activity is an interesting feature of the temporal organization in many cell firing patterns. This complex behavior is characterized by clusters of spikes (action potentials) interspersed with phases of quiescence. As shown in experimental recordings, concerning the electrical activity of real neurons, the analysis of bursting models reveals not only patterned periodic activity but also irregular behavior [1], [2]. The interpretation of experimental results, particularly the study of the influence of coupling on chaotic bursting oscillations, is of great interest from physiological and physical perspectives. The inability to predict the behavior of dynamical systems in presence of chaos suggests the application of chaos control methods, when we are more interested in obtaining regular behavior. In the present article, we focus our attention on a specific class of biophysically motivated maps, proposed in the literature to describe the chaotic activity of spiking–bursting cells [Cazelles B, Courbage M, Rabinovich M. Anti-phase regularization of coupled chaotic maps modelling bursting neurons. Europhys Lett 2001;56:504–9]. More precisely, we study a map that reproduces the behavior of a single cell and a map used to examine the role of reciprocal inhibitory coupling, specially on two symmetrically coupled bursting neurons. Firstly, using results of symbolic dynamics, we characterize the topological entropy associated to the maps, which allows us to quantify and to distinguish different chaotic regimes. In particular, we exhibit numerical results about the effect of the coupling strength on the variation of the topological entropy. Finally, we show that complicated behavior arising from the chaotic coupled maps can be controlled, without changing of its original properties, and turned into a desired attracting time periodic motion (a regular cycle). The control is illustrated by an application of a feedback control technique developed by Romeiras et al. [Romeiras FJ, Grebogi C, Ott E, Dayawansa WP. Controlling chaotic dynamical systems. Physica D 1992;58:165–92]. This work provides an illustration of how our understanding of chaotic bursting models can be enhanced by the theory of dynamical systems.     

Chaos generation via a switching fractional multi-model system

This paper introduces a system with switching multi-model structure which can generate chaos. Sub-models in this structure are fractional-order linear systems with any desired commensurate order less than 1. It shows that this system is capable of demonstrating chaotic behavior if its parameters and switching rule are suitably chosen. The structure of the proposed system is defined in a general form; consequently various chaotic attractors can be created by this system with different choices of order, parameters and switching rule. Numerical simulations illustrate behavior of the introduced system in some different situations.