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Int. J. Bifurc. Chaos最新文献

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Bifurcation Analysis of a Wind Turbine Generator Drive System with Stochastic Excitation Under Both Displacement and Velocity Delayed Feedback 具有随机激励的风力发电机组驱动系统在位移和速度延迟反馈下的分岔分析
Pub Date : 2023-06-15 DOI: 10.1142/S0218127423500797
J. Zhang, Mengran Nan, Lixiang Wei, Xinlei An, Meijuan He
In this paper, a wind turbine generator drive system with stochastic excitation under both displacement and velocity delayed feedback is considered. Firstly, the center manifold method is used to approximate the delay term of the system, so that the Itô-stochastic differential equation can be obtained by random average method. Through the maximal Lyapunov exponential method, the local stochastic stability and random D-bifurcation conditions of the system are obtained. Secondly, it is verified that the increase of noise intensity and delay value induces the occurrence of random P-bifurcation of the system through Monte Carlo numerical simulations. In addition, the theoretical chaos threshold of the system is derived by the random Melnikov method. The results show that the chaos threshold decreases as the noise intensity increases, and the increase in time delay leads to a delay in the chaotic behavior of the system. Finally, the correctness and effectiveness of the chaos-theoretic analysis are verified based on the one-parameter bifurcation diagrams and the two-parameter bifurcation diagrams.
本文研究了一种具有随机激励的风力发电机组驱动系统,该系统同时具有位移和速度延迟反馈。首先,采用中心流形法对系统的延迟项进行近似,利用随机平均法得到Itô-stochastic微分方程;通过极大Lyapunov指数方法,得到了系统的局部随机稳定性和随机d分岔条件。其次,通过蒙特卡罗数值模拟验证了噪声强度和延迟值的增加导致系统随机p分岔的发生。此外,利用随机Melnikov方法推导了系统的理论混沌阈值。结果表明,混沌阈值随噪声强度的增大而减小,而时滞的增大导致系统混沌行为的延迟。最后,基于单参数分岔图和双参数分岔图验证了混沌理论分析的正确性和有效性。
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引用次数: 0
Minimal Chaotic Networks of Linear Neuron-Like Elements with Single Rectification: Three Prototypes 单整流线性类神经元单元的最小混沌网络:三个原型
Pub Date : 2023-06-15 DOI: 10.1142/S0218127423300173
Y. Horikawa
Chaotic oscillations induced by single rectification in networks of linear neuron-like elements are examined on three prototype models: one nonautonomous system and two autonomous systems. The first is a system of coupled neurons with periodic input; the second is a system of three coupled neurons with six couplings; the third is a ring of four unidirectionally coupled neurons with one reverse coupling. In each system, the output function of one neuron is ramp and that of the others is linear. Each system is piecewise linear and the phase space is separated into two domains by a single border. Steady states, periodic solutions and homoclinic orbits are derived rigorously and their stability is evaluated with the eigenvalues of the Jacobian matrices. The bifurcation analysis of the three systems shows that chaotic attractors could be generated through cascades of period-doubling bifurcations of periodic solutions.
在一个非自治系统和两个自治系统的三种原型模型上研究了线性类神经元单元网络中单次整流引起的混沌振荡。第一种是具有周期性输入的耦合神经元系统;第二种是一个由三个耦合神经元组成的系统,有六个耦合;第三种是一个由四个单向耦合神经元和一个反向耦合神经元组成的环。在每个系统中,一个神经元的输出函数为斜坡,其他神经元的输出函数为线性。每个系统都是分段线性的,相空间被一个边界分隔成两个域。严格推导了稳态、周期解和同斜轨道,并用雅可比矩阵的特征值评价了它们的稳定性。三种系统的分岔分析表明,混沌吸引子可以通过周期解的倍周期分岔级联产生。
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引用次数: 0
Estimating the Number of Zeros of Abelian Integrals for the Perturbed Cubic Z4-Equivariant Planar Hamiltonian System 摄动三次z4等变平面哈密顿系统的阿贝尔积分零点数的估计
Pub Date : 2023-06-15 DOI: 10.1142/S0218127423500852
Aiyong Chen, Wentao Huang, Yonghui Xia, Huiyang Zhang
We analyze the dynamics of a class of [Formula: see text]-equivariant Hamiltonian systems of the form [Formula: see text], where [Formula: see text] is complex, the time [Formula: see text] is real, while [Formula: see text] and [Formula: see text] are real parameters. The topological phase portraits with at least one center are given. The finite generators of Abelian integral [Formula: see text] are obtained, where [Formula: see text] is a family of closed ovals defined by [Formula: see text] [Formula: see text], [Formula: see text] is the open interval on which [Formula: see text] is defined, [Formula: see text], [Formula: see text] are real polynomials in [Formula: see text] and [Formula: see text] with degree [Formula: see text]. We give an estimation of the number of isolated zeros of the corresponding Abelian integral by using its algebraic structure. We show that for the given polynomials [Formula: see text] and [Formula: see text] in [Formula: see text] and [Formula: see text] with degree [Formula: see text], the number of the limit cycles of the perturbed [Formula: see text]-equivariant Hamiltonian system does not exceed [Formula: see text] (taking into account the multiplicity).
我们分析了一类[公式:见文]——形式为[公式:见文]的等变哈密顿系统的动力学,其中[公式:见文]是复数,时间[公式:见文]是实数,[公式:见文]和[公式:见文]是实参数。给出了具有至少一个中心的拓扑相图。得到了阿贝尔积分[公式:见文]的有限生成函数,其中[公式:见文]是由[公式:见文][公式:见文]定义的闭椭圆族,[公式:见文]是定义[公式:见文]的开区间,[公式:见文],[公式:见文]是[公式:见文]和[公式:见文]中带次的实多项式[公式:见文]。利用阿贝尔积分的代数结构,给出了相应阿贝尔积分的孤立零个数的估计。在[公式:见文][公式:见文]和[公式:见文]中的给定多项式[公式:见文]和[公式:见文],摄动[公式:见文]-等变哈密顿系统的极限环数不超过[公式:见文](考虑多重性)。
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引用次数: 0
Multibiometric Images Encryption Method Based on Fast Fourier Transform and Hyperchaos 基于快速傅里叶变换和超混沌的多生物特征图像加密方法
Pub Date : 2023-06-15 DOI: 10.1142/S0218127423500840
Cong Ding, Ru Xue, Shi-Jin Niu
Biometric images are an important means of personal identity verification and identification and are related to personal privacy and property security. To address the problems of poor security and low image reconstruction quality in the encryption and transmission of multibiometric images, a multibiometric images encryption method based on Fast Fourier Transform (FFT) and hyperchaotic system is proposed. First, the FFT is used to transform the multibiometric images from spatial to frequency domain. Then, the initial values of the hyperchaotic Lorenz system are generated using a one-dimensional chaotic logistic system to generate the key stream. Combined with the recoding rules of matrix reconstruction and scrambling without repetition of using multimatrix, the multiple matrices of amplitude and phase in the transform domain are reconstructed to be multiple RGB three-channel color images by using the inverse fast Fourier transform. Then, we combine the two diffusion methods of additive mode and Galois domain diffusion on each color channel to perform confusion and diffusion. Finally, the multiple grayscale images are encrypted to become multiple color images. The experimental results demonstrate that the method can effectively defend against various attacks. In addition, it solves the problem of low reconstruction accuracy that exists in the field of multiple images security.
生物特征图像是个人身份验证和识别的重要手段,关系到个人隐私和财产安全。针对多生物特征图像加密传输中存在的安全性差、图像重建质量低等问题,提出了一种基于快速傅里叶变换(FFT)和超混沌系统的多生物特征图像加密方法。首先,利用FFT将多生物特征图像从空间域变换到频域。然后,利用一维混沌逻辑系统生成超混沌洛伦兹系统的初始值,生成密钥流。结合矩阵重构和无重复置乱的编码规则,利用快速傅里叶反变换将变换域中的幅值和相位的多个矩阵重构为多个RGB三通道彩色图像。然后,我们在每个颜色通道上结合加性模式和伽罗瓦域扩散两种扩散方法进行混淆和扩散。最后,将多幅灰度图像加密为多幅彩色图像。实验结果表明,该方法能够有效防御各种攻击。此外,它还解决了多图像安全领域存在的重建精度低的问题。
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引用次数: 0
Impact of Spatial Memory on a Predator-Prey System with Allee Effect 空间记忆对具有狭缝效应的捕食系统的影响
Pub Date : 2023-06-15 DOI: 10.1142/s0218127423500864
Daiyong Wu, Fengping Lu, Chuansheng Shen, Jian Gao
Recently, spatial memory and Allee effect have been widely investigated in population models, independently. This paper introduces these two aspects to a predator–prey system, and studies the interaction of two species. Allee effect causes bistability, and the predator-free steady-state is always locally stable. Prey-taxis can play a stable role in positive constant steady-state, and spatial memory delay generates the inhomogeneous Hopf bifurcation and even stability switching. In the absence of spatial memory delay, the stronger the predator is subject to the Allee effect, the larger the prey-taxis coefficient is required to keep two species coexist in a stable spatially homogenous form. With the same prey-taxis coefficient, the critical threshold of spatial memory delay corresponding to large predator diffusion coefficient is distinctly bigger than the one corresponding to small predator diffusion coefficient. Moreover, the amplitudes of spatial patterns, which reflect the degree of inhomogeneity, oscillate as spatial memory delay varies.
近年来,空间记忆和Allee效应在种群模型中得到了广泛的独立研究。本文将这两个方面引入捕食-食饵系统,并研究了两个物种的相互作用。Allee效应导致双稳态,无捕食者稳态总是局部稳定的。猎物趋向性在正恒稳态下发挥稳定作用,空间记忆延迟产生非齐次Hopf分岔甚至稳定切换。在没有空间记忆延迟的情况下,捕食者受Allee效应的影响越强,保持两种物种以稳定的空间同质形式共存所需的猎物趋向性系数越大。相同趋向性系数下,大捕食者扩散系数对应的空间记忆延迟临界阈值明显大于小捕食者扩散系数对应的空间记忆延迟临界阈值。此外,反映非均匀性程度的空间模式振幅随空间记忆延迟的变化而振荡。
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引用次数: 0
Propagation Effect of Epileptic Seizures in a Coupled Thalamocortical Network 耦合丘脑皮质网络中癫痫发作的传播效应
Pub Date : 2023-06-15 DOI: 10.1142/S0218127423500785
Luyao Yan, Honghui Zhang, Zhongkui Sun, Zilu Cao, Zhuan Shen, Lin Du
Epileptic seizures have spatial features related to the propagation of seizure waves. As the main characteristic of absence seizures, 2–4[Formula: see text]Hz spike-wave discharges (SWDs) originate from the cortices and are maintained by the thalamus. In this study, we explore the onset and propagation effect of absence seizures based on a thalamocortical model. First, we develop a two-compartment model and consider the autapse of the thalamic reticular nucleus as a crucial parameter to investigate transition behaviors. Moreover, we present dynamical mechanisms through bifurcation analysis. Simulation results show that the absence seizures can be induced and advanced as the coupling strength increases. Second, we investigate excitatory and inhibitory coupling functions in a three-compartment model. Our research indicates that the excitatory coupling function can lead to SWDs when all the compartments are initially saturated. In the process of propagation, excitatory coupling also gives rise to SWDs in normal compartments, whereas inhibitory coupling plays a limited role. Finally, we reproduce the above results in a 10-compartment model and verify the robustness against the variation of the number of modules. This work may shed new light on the field of seizure propagation and provide potential dynamical mechanisms.
癫痫发作具有与发作波传播相关的空间特征。作为失神癫痫发作的主要特征,2-4[公式:见文本]Hz的尖峰波放电(SWDs)起源于大脑皮层,由丘脑维持。在这项研究中,我们探讨了基于丘脑皮质模型的失神发作的发生和传播效应。首先,我们建立了一个双室模型,并将丘脑网状核的自垂作为研究过渡行为的关键参数。此外,我们还通过分岔分析给出了其动力机制。仿真结果表明,随着耦合强度的增大,缺勤发作会被诱发并加剧。其次,我们在一个三室模型中研究了兴奋和抑制耦合功能。我们的研究表明,当所有隔室初始饱和时,兴奋耦合功能可导致SWDs。在繁殖过程中,兴奋性偶联也会引起正常胞室的SWDs,而抑制性偶联作用有限。最后,我们在10室模型中重现上述结果,并验证了对模块数量变化的鲁棒性。这项工作可能为癫痫发作传播领域提供新的思路,并提供潜在的动力学机制。
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引用次数: 0
Existence, Number and Stability of Periodic Orbits Induced by Homoclinic Loops in Three-Dimensional Piecewise Linear Systems with an Admissible Saddle-Focus 具有可容许鞍焦点的三维分段线性系统中同斜环诱导周期轨道的存在性、数量和稳定性
Pub Date : 2023-06-15 DOI: 10.1142/s0218127423500839
Lei Wang, Xiao-Song Yang
For a class of three-dimensional piecewise linear systems with an admissible saddle-focus, the existence of three kinds of homoclinic loops is shown. Moreover, the birth and number of the periodic orbits induced by homoclinic bifurcation are investigated, and various sufficient conditions are obtained to guarantee the appearance of only one periodic orbit, finitely many periodic orbits or countably infinitely many periodic orbits. Furthermore, the stability of these newborn periodic orbits is analyzed in detail and some conclusions are made about them to be periodic saddle orbits or periodic sinks. Finally, some examples are given.
对于一类具有可容许鞍焦点的三维分段线性系统,证明了三种同斜环的存在性。此外,研究了同斜分岔诱导的周期轨道的诞生和个数,得到了保证周期轨道只存在一个、有限多个或可数无限多个的充分条件。此外,对这些新生周期轨道的稳定性进行了详细的分析,得出了它们可能是周期鞍轨道或周期汇轨道的结论。最后,给出了一些实例。
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引用次数: 0
Nonexistence and Uniqueness of Limit Cycles in a Class of Three-Dimensional Piecewise Linear Differential Systems 一类三维分段线性微分系统极限环的不存在唯一性
Pub Date : 2023-05-01 DOI: 10.1142/s021812742350075x
Ting Chen, Lihong Huang, J. Llibre
During the last twenty years there has been increasing interest in studying the piecewise differential systems, mainly due to their many applications in natural science and technology. Up to now the most studied differential systems are in dimension two, here we study them in dimension three. One of the main difficulties for studying these differential systems consists in controlling the existence and nonexistence of limit cycles, and the numbers when they exist. In this paper, we study the nonsymmetric limit cycles for a family of three-dimensional piecewise linear differential systems with three zones separated by two parallel planes. For this class of differential systems we study the nonexistence, existence and uniqueness of their limit cycles.
近二十年来,由于分段微分系统在自然科学和技术中的许多应用,人们对其研究的兴趣日益浓厚。到目前为止,研究最多的微分系统是二维的,这里我们研究三维的。研究这些微分系统的主要困难之一在于控制极限环的存在性和不存在性,以及极限环存在时的数量。本文研究了一类三维分段线性微分系统的非对称极限环,该系统具有两个平行平面分隔的三个区域。对于这类微分系统,我们研究了它们极限环的不存在性、存在性和唯一性。
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引用次数: 0
DNA Image Encryption Scheme Based on a Chaotic LSTM Pseudo-Random Number Generator 基于混沌LSTM伪随机数生成器的DNA图像加密方案
Pub Date : 2023-05-01 DOI: 10.1142/s0218127423500670
K. Koubaâ, N. Derbel
Deoxyribonucleic Acid (DNA) coding technology is a new research field developed by the combination of computer science and molecular biology, that has been gradually applied in the field of image encryption in recent years. Furthermore, sensitivity to initial conditions, pseudo-random properties, and state ergodicity of coupled chaotic maps can help produce good pseudo-random number generators and meet the requirements of an image encryption system well. In this paper, an image encryption algorithm based on high-dimensional coupled chaotic maps and DNA coding is proposed. A pseudo-random sequence is generated by a long short-term memory (LSTM) architecture using the proposed maps and evaluated through a set of statistical tests to show the high performance of the proposed generator. All intensity values of an input image are converted to a binary sequence, which is scrambled globally by the high-dimensional coupled chaotic maps. The DNA operations are performed on the scrambled binary sequences instead of binary operations to increase the algorithm efficiency. Simulation results and performance analyses demonstrate that the proposed encryption scheme is extremely sensitive to small changes in secret keys, provides high security and can resist differential attack.
脱氧核糖核酸(DNA)编码技术是计算机科学与分子生物学相结合发展起来的一个新的研究领域,近年来逐渐应用于图像加密领域。此外,耦合混沌映射对初始条件的敏感性、伪随机特性和状态遍历性有助于产生良好的伪随机数生成器,很好地满足图像加密系统的要求。提出了一种基于高维耦合混沌映射和DNA编码的图像加密算法。伪随机序列由长短期记忆(LSTM)体系结构使用所提出的映射生成,并通过一组统计测试进行评估,以显示所提出的生成器的高性能。将输入图像的所有强度值转换为二值序列,并通过高维耦合混沌映射进行全局置乱。为了提高算法效率,将DNA运算替换为二进制运算,并对打乱后的二进制序列进行运算。仿真结果和性能分析表明,该加密方案对密钥的微小变化非常敏感,具有较高的安全性和抗差分攻击能力。
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引用次数: 0
Spin Chaos Dynamics in Classical Random Dipolar Interactions 经典随机偶极相互作用中的自旋混沌动力学
Pub Date : 2023-05-01 DOI: 10.1142/s0218127423500724
M. Momeni
The stochastic nature of magnetization dynamics of dipole–dipole interactions described by the Landau–Lifshitz–Gilbert equation without considering the Gilbert damping parameter is investigated. It is shown that the occurrence of the complex dynamic states depends on the spatial anisotropy of interactions on one hand and the lattice geometry on the other. It is observed from the higher-order moments of the magnetization fluctuations that two significant dynamical regimes, regular and chaos, may be obtained depending on the perturbation strength. Relying on the Hurst exponent obtained by the standard deviation principle, the correlation and persistence of the magnetization fluctuations are analyzed. The results also exhibit a transition from an anti-correlated to a positively correlated system as the relevant parameters of the system vary.
研究了在不考虑Gilbert阻尼参数的情况下,用Landau-Lifshitz-Gilbert方程描述的偶极-偶极相互作用磁化动力学的随机性质。结果表明,复杂动态状态的发生一方面取决于相互作用的空间各向异性,另一方面取决于晶格几何形状。从磁化波动的高阶矩可以观察到,随扰动强度的不同,可以得到规则和混沌两种重要的动力学状态。利用标准偏差原理得到的赫斯特指数,分析了磁化波动的相关性和持久性。结果还表明,随着系统相关参数的变化,系统从反相关到正相关的转变。
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引用次数: 0
期刊
Int. J. Bifurc. Chaos
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