一簇Lorenz映射的混沌行为的符号动力学分析

首先从符号动力学的角度论证了一簇Lorenz映射且有的混沌性质:稠密的周期轨道,周期的集合,拓扑熵,几乎所有(关于Lebesgue测度)的点的Lyapunov指数;并从揉序列的分析给出了该簇映射的拓扑熵的一个下界及Lyapunov指数的一个下界与上界,在很大程度上反应了Lorenz系统的复杂程度.其次仍从符号动力学的角度论证了更一般的Lorenz映射,通过设立参数空间,穷尽了Lorenz映射中函数为直线段的所有情况,并得出同前述Lorenz映射相似的且较为复杂的性质.     

Duffing系统在双参数平面上的分岔演化过程

给出了参数空间上最大Lyapunov指数的计算方法,数值计算了Duffing系统在双参数平面上的最大Lyapunov指数.结合单参数最大Lyapunov指数、分岔图、相图以及时间历程图,讨论了Duffing系统在双参数平面上的分岔以及随系统控制参数变化的分岔演化过程.结果发现在双参数平面上系统发生叉式分岔,出现具有缺边现象的两个不同区域,该区域内系统对初值有较强的敏感性,存在两吸引子共存现象;系统运动经过周期跳跃曲线时振动幅值突然减小;系统外激励频率较小时常引起颤振运动.此外,在两个具有缺边现象的区域内,随刚度系数的不断增加,系统出现了倍周期分岔曲线环,而且倍周期分岔曲线环内不断嵌套新的倍周期分岔曲线环,导致系统最终经倍周期分岔序列进入混沌状态,随着控制参数的变化,系统在双参数平面上的动力学特性变得非常复杂.     

Conformable分数阶单机无穷大电力系统分岔与混沌研究

基于Conformable分数阶微分定义和Adomian分解算法,设计了Conformable分数阶非线性系统半解析解算法和Lyapunov指数谱算法.采用Lyapunov指数谱、分岔图和吸引子相图分析了Conformable分数阶单机无穷大电力系统中的分岔与混沌现象,揭示了系统状态随参数和微分阶数变化时的规律以及系统走向混沌的道路.Matlab仿真数值模拟结果表明:Conformable分数阶单机无穷大电力系统的动力学特征丰富,系统产生混沌的最小阶数为0.41,系统初值的改变直接影响系统状态,并发现了多涡卷混沌吸引子和共存吸引子,功角失稳是产生多涡卷吸引子的根本原因.研究结果表明了求解算法的有效性与Conformable分数阶单机无穷大电力系统动力学特性的丰富性.     

具有时滞的扩散BAM神经网络的指数稳定性

研究一类具有反应扩散的滞后BAM神经网络平衡点的存在性唯一性和全局指数稳定性.运用拓扑同胚映射,Lyapunov泛函以及多参数方法,得到关于平衡点存在唯一性和全局指数稳定性的充分条件,将相关文献的结果推广到正整数r范数上.     

拓扑传递系统中的混沌

研究传递的拓扑动力系统中产生的混沌现象, 指出在这一类系统中轨迹对于时间的异常依赖方式其异常程度远大于通常所说的“Li-Yorke 混沌”中所描述的. 推广了“对于初值敏感依赖”这一概念, 并且讨论了这种广义的对于初值敏感依赖的传递系统中产生的混沌现象.     

半流及其逆极限的混沌

该文对连续动力系统研究了Devaney意义下的混沌的不变性质．证明了：（1）半流是混沌的（resP，ω混沌的）当且仅当它的逆极限是混沌的（resp,ω混沌的）；（2）自映射是混沌的（resp.ω混沌的）当且仅当它的扭扩半流是混沌的（resp．ω混沌的）；（3）自映射逆极限的扭扩流拓扑共轭于其扭扩半流的逆极限．从（2）和（3）可知，结论（1）是对自映射的推广．     

分数阶双指数混沌系统的自适应滑模同步

研究了分数阶双指数混沌系统的自适应滑模同步问题.通过设计滑模函数和控制器,构造了平方Lyapunov函数进行稳定性分析.利用Barbalat引理证明了同步误差渐近趋于零,获得了系统取得自适应滑模同步的充分条件.数值仿真结果表明:选取适当的控制器及与滑模函数,分数阶双指数混沌系统取得自适应滑模同步.     

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.     

基于混沌理论的创新网络中组织间信任演化研究

以往关于信任的研究是在稳定均衡的假设下进行的,然而信任演化过程中会表现出非线性的混沌状态,具有复杂系统的特征。基于演化博弈理论和混沌理论,建立了创新网络中组织间信任演化模型,分析了创新网络中组织间信任的复杂性、初值敏感性、分岔行为及内随机性等混沌特性,推导出信任演化方程与Logistic映射之间的关系,采用Lyapunov稳定性理论进行混沌性判定,证明创新网络中组织间信任通过倍周期分岔通往混沌,得到了信任从有序进入混沌的一般条件,运用算例进行仿真展示信任演化通往混沌的过程,分析创新网络中信任演化进入混沌区的实际意义,并选择硅谷和筑波科技城两个实例做对比分析,验证了该研究的实用性和有效性。创新网络中组织间信任的混沌演化反映出信任发展的非线性特点,为创新网络中组织间信任的混沌利用和控制提供理论指导。     

非线性中立型随机微分系统的稳定性

研究了一类非线性中立型随机微分系统的稳定性问题.该类非线性随机微分系统不仅包含系统的过去状态,而且还和系统的过去时刻的运动特性相关,同时,还具有Markov跳变参数.利用所定义的广义Ito微分公式,通过构造适当随机Lyapunov泛函,给出了此类随机系统的均方指数稳定性的充分条件.该条件放宽了已有结果的限制,具有更加广泛的适用范围.同时,还给出了此类随机系统的几乎必然指数稳定性的充分条件.     

Global multifractal relation between topological entropies and fractal dimensions

In one-dimensional chaotic dynamics, a global multifractal relation between topological entropies and fractal dimensions of arbitrary period-p-tupling attractors is analyzed on all critical (accumulation) points of transitions to chaos, where the Lyapunov characteristic exponent is zero. The global metric regularity of topological entropies versus fractal dimensions is well characterized by the self-similarity. By the fractal interpolation based on the iterated function system, the fractal dimensions of the curves of topological entropies versus capacity dimensions and versus information dimensions are both found to be 1.82.     

Complex dynamics of a discrete-time predator-prey system with Holling IV functional response

In this paper, a discrete-time predator-prey system with Holling-IV functional response is studied. We first classify the existence of the fixed points of the system, and further investigate their local stabilities. Then the local bifurcation theory for maps is applied to explore the variety of dynamics of the system. Sufficient conditions for the flip bifurcation and Neimark–Sacker bifurcation are provided. Numerical results demonstrate that the system may have more complex dynamical behaviors including multiple periodic orbits, quasi-periodic orbits and chaotic behavior. The maximum Lyapunov exponent and sensitivity analysis also confirm the chaotic dynamical behaviors of the system.     

A probe into the chaotic nature of daily streamflow time series by correlation dimension and largest Lyapunov methods

Two chaotic indicators namely the correlation dimension and the Lyapunov exponent methods are investigated for the daily river flow of Kizilirmak River. A delay time of 60 days used for the reconstruction is chosen after examining the first minimum of the average mutual information of the data. The sufficient embedding dimension is estimated using the false nearest neighbor algorithm, which has a value of 11. Based on these embedding parameters the correlation dimension of the resulting attractor is calculated, as well as the average divergence rate of nearby orbits given by the largest Lyapunov exponent. The presence of chaos in the examined river flow time series is evident with the low correlation dimension (2.4) and the positive value of the largest Lyapunov exponent (0.0061).     

Dimensions and Lyapunov exponents from exchange rate series

Detecting the presence of deterministic chaos in economic time series is an important problem that may be solved by measuring the largest Lyapunov exponent. In this paper we present estimates of the largest Lyapunov exponent in daily data for the Swedish Krona vs Deutsche Mark, ECU, U.S. Dollar and Yen exchange rates. In order to estimate the dimension of the systems producing these exchange rate series, we also present estimates of the correlation dimension. We found indications of deterministic chaos in all exchange rate series. However, the estimates for the largest Lyapunov exponents are not reliable, except in the Swedish Krona-ECU case, because of the limited number of data points. In the Swedish Krona-ECU case, we found indications of a low-order chaotic dynamical system.     

On chaos, transient chaos and ghosts in single population models with Allee effects

Density-dependent effects, both positive or negative, can have an important impact on the population dynamics of species by modifying their population per-capita growth rates. An important type of such density-dependent factors is given by the so-called Allee effects, widely studied in theoretical and field population biology. In this study, we analyze two discrete single population models with overcompensating density-dependence and Allee effects due to predator saturation and mating limitation using symbolic dynamics theory. We focus on the scenarios of persistence and bistability, in which the species dynamics can be chaotic. For the chaotic regimes, we compute the topological entropy as well as the Lyapunov exponent under ecological key parameters and different initial conditions. We also provide co-dimension two bifurcation diagrams for both systems computing the periods of the orbits, also characterizing the period-ordering routes toward the boundary crisis responsible for species extinction via transient chaos. Our results show that the topological entropy increases as we approach to the parametric regions involving transient chaos, being maximum when the full shift R(L)^∞ occurs, and the system enters into the essential extinction regime. Finally, we characterize analytically, using a complex variable approach, and numerically the inverse square-root scaling law arising in the vicinity of a saddle-node bifurcation responsible for the extinction scenario in the two studied models. The results are discussed in the context of species fragility under differential Allee effects.     

Chaos in temporarily destabilized regular systems with the slow passage effect

We provide evidences for chaotic behaviour in temporarily destabilized regular systems. In particular, we focus on time-continuous systems with the slow passage effect. The extreme sensitivity of the slow passage phase enables the existence of long chaotic transients induced by random pulsatile perturbations, thereby evoking chaotic behaviour in an initially regular system. We confirm the chaotic behaviour of the temporarily destabilized system by calculating the largest Lyapunov exponent. Moreover, we show that the newly obtained unstable periodic orbits can be easily controlled with conventional chaos control techniques, thereby guaranteeing a rich diversity of accessible dynamical states that is usually expected only in intrinsically chaotic systems. Additionally, we discuss the biological importance of presented results.     

On statistical properties of the lyapunov exponent of the generalized skew tent map

The statistical properties of the Lyapunov exponent of the chaotic generalized skew tent map is studied. Expressions of the mean and the variance of this Lyapunov exponent at each discrete time index are obtained. A sufficient condition for weakly mixing of the chaotic generalized skew tent map is derived, and the asymptotic distribution of its Lyapunov exponent is provided.     

A new hyperchaotic system and its circuit implementation

In this paper, a new hyperchaotic system is presented by adding a nonlinear controller to the three-dimensional autonomous chaotic system. The generated hyperchaotic system undergoes hyperchaos, chaos, and some different periodic orbits with control parameters changed. The complex dynamic behaviors are verified by means of Lyapunov exponent spectrum, bifurcation analysis, phase portraits and circuit realization. The Multisim results of the hyperchaotic circuit were well agreed with the simulation results.