Implementation of a novel two-attractor grid multi-scroll chaotic system

This paper proposed a method of generating two attractors in a novel grid multi-scroll chaotic system. Based on a newly generated three-dimensional system, a two-attractor grid multi-scroll attractor system can be generated by adding two triangular waves and a sign function. Some basic dynamical properties, such as equilibrium points, bifurcations, and phase diagrams, were studied. Furthermore, the system was experimentally confirmed by an electronic circuit. The circuit simulation results and numerical simulation results verified the feasibility of this method.

Novel two-directional grid multi-scroll chaotic attractors based on the Jerk system

A new method is presented to generate two-directional (2D) grid multi-scroll chaotic attractors via a specific form of the sine function and sign function series, which are applied to increase saddle points of index 2. The scroll number in the x-direction is modified easily through changing the thresholds of the specific form of the sine function, while the scroll number in the y-direction is controlled by the sign function series. Some basic dynamical properties, such as equilibrium points, bifurcation diagram, phase portraits, and Lyapunov exponents spectrum are studied. Furthermore, the electronic circuit of the system is designed and its simulation results are given by Multisim 10.

Multi-scroll hidden attractors and multi-wing hidden attractors in a 5-dimensional memristive system

A novel 5-dimensional（5D） memristive chaotic system is proposed, in which multi-scroll hidden attractors and multiwing hidden attractors can be observed on different phase planes. The dynamical system has multiple lines of equilibria or no equilibrium when the system parameters are appropriately selected, and the multi-scroll hidden attractors and multi-wing hidden attractors have nothing to do with the system equilibria. Particularly, the numbers of multi-scroll hidden attractors and multi-wing hidden attractors are sensitive to the transient simulation time and the initial values. Dynamical properties of the system, such as phase plane, time series, frequency spectra, Lyapunov exponent, and Poincar′e map, are studied in detail. In addition, a state feedback controller is designed to select multiple hidden attractors within a long enough simulation time. Finally, an electronic circuit is realized in Pspice, and the experimental results are in agreement with the numerical ones.

Design and implementation of a novel multi-scroll chaotic system

This paper proposes a novel approach for generating a multi-scroll chaotic system. Together with the theoretical design and numerical simulations, three different types of attractor are available, governed by constructing triangular wave, sawtooth wave and hysteresis sequence. The presented new multi-scroll chaotic system is different from the classical multi-scroll chaotic Chua system in dimensionless state equations, nonlinear functions and maximum Lyapunov exponents. In addition, the basic dynamical behaviours, including equilibrium points, eigenvalues, eigenvectors, eigenplanes, bifurcation diagrams and Lyapunov exponents, are further investigated. The success of the design is illustrated by both numerical simulations and circuit experiments.

A new multi-scroll chaotic generator

In this paper a new simple multi-scroll chaotic generator is studied. The characteristic of this new multi-scroll chaotic generator is that it is easy to generate different number of scroll chaotic attractors through modifying the nature number n after fixing the suitable system parameters and it does not need complex mathematical derivation. Various number of scroll chaotic attractors are illustrated not only by computer simulation but also by the realization of an electronic circuit experiment on Electronic Workbench （EWB）.

Design and FPGA implementation of a memristor-based multi-scroll hyperchaotic system

A novel memristor-based multi-scroll hyperchaotic system is proposed.Based on a voltage-controlled memristor and a modulating sine nonlinear function,a novel method is proposed to generate the multi-scroll hyperchaotic attractors.Firstly,a multi-scroll chaotic system is constructed from a three-dimensional chaotic system by designing a modulating sine nonlinear function.Then,a voltage-controlled memristor is introduced into the above-designed multi-scroll chaotic system.Thus,a memristor-based multi-scroll hyperchaotic system is generated,and this hyperchaotic system can produce various coexisting hyperchaotic attractors with different topological structures.Moreover,different number of scrolls and different topological attractors can be obtained by varying the initial conditions of this system without changing the system parameters.The Lyapunov exponents,bifurcation diagrams and basins of attraction are given to analyze the dynamical characteristics of the multi-scroll hyperchaotic system.Besides,the field programmable gate array(FPGA)based digital implementation of the memristor-based multi-scroll hyperchaotic system is carried out.The experimental results of the FPGA-based digital circuit are displayed on the oscilloscope.

Generating one-,two-,three-and four-scroll attractors from a novel four-dimensional smooth autonomous chaotic system

A new four-dimensional quadratic smooth autonomous chaotic system is presented in this paper, which can exhibit periodic orbit and chaos under the conditions on the system parameters. Importantly, the system can generate one-, two-, three- and four-scroll chaotic attractors with appropriate choices of parameters. Interestingly, all the attractors are generated only by changing a single parameter. The dynamic analysis approach in the paper involves time series, phase portraits, Poincare maps, a bifurcation diagram, and Lyapunov exponents, to investigate some basic dynamical behaviours of the proposed four-dimensional system.

Generating multi-layer nested chaotic attractor and its FPGA implementation

Complex chaotic sequences are widely employed in real world, so obtaining more complex sequences have received highly interest. For enhancing the complexity of chaotic sequences, a common approach is increasing the scroll-number of attractors. In this paper, a novel method to control system for generating multi-layer nested chaotic attractors is proposed.At first, a piecewise(PW) function, namely quadratic staircase function, is designed. Unlike pulse signals, each level-logic of this function is square constant, and it is easy to realize. Then, by introducing the PW functions to a modified Chua's system with cubic nonlinear terms, the system can generate multi-layer nested Chua's attractors. The dynamical properties of the system are numerically investigated. Finally, the hardware implementation of the chaotic system is used FPGA chip.Experimental results show that theoretical analysis and numerical simulation are right. This chaotic oscillator consuming low power and utilization less resources is suitable for real applications.

空间认知的吸引子动力学

哺乳动物的导航系统包含多种类型的神经元,负责位置感知和空间路径规划,涉及多信息整合。吸引子动力学理论作为一个能统一解释记忆、决策等复杂认知功能的脑理论,可以解释导航系统中神经元的特异性放电和路径整合机制。本文综述了空间认知领域吸引子动力学的最新研究进展。首先,概要介绍了计算神经科学和吸引子动力学的一般理论。接着,以哺乳动物导航系统的连续吸引子动力学为核心,深入探讨了头朝向细胞和网格细胞的放电动力学特征及其功能意义。在此基础上,对导航系统吸引子理论进行了拓展与展望。

可控网格多涡卷混沌系统族及其硬件电路实现

为加强混沌系统在通信链路的抗干扰和抗截获等性能,提高混沌系统性态的复杂度,基于典型蔡氏电路和阶梯函数,构造了一类数量可控的新型网格多涡卷混沌系统族。首先利用两组阶梯函数作为系统的非线性控制器,分别控制网格多涡卷混沌吸引子的奇偶列数和排列行数,并保持混沌吸引子中涡卷与键带的相互间置,以实现网格多涡卷的任意奇偶列数;然后对系统的平衡点、李雅普诺夫指数和吸引子等动力学特性进行理论分析和数值仿真实现;最后通过现场可编程门阵列(FPGA)给出最多4行12列网格多涡卷的硬件实验结果。软硬件实验结果和理论分析结果完全一致,进一步验证了所提系统的物理可实现性。

基于反正切的网格混沌吸引子及其保密通信

提出了一种用处处光滑的反正切函数序列生成多维多涡卷网格混沌吸引子的方法,可以生成一维n涡卷、二维n×m网格多涡卷和三维n×m×l网格多涡卷混沌吸引子。平衡点分析、数值仿真、Lyapunov指数谱、分岔图和Poincaré映像都表明系统是混沌的。用简单的线性反馈控制实现了同结构网格多涡卷混沌系统之间的同步,可应用于保密通信。简单的理论分析和数值仿真证明了该方法的有效性。

基于CFOA的2-D网格多涡卷混沌电路的设计

采用电流反馈放大器(CFOA)设计了一个由3个积分电路、2个非线性电路和1个减法电路组成的混沌电路,该电路能产生网格多涡卷混沌吸引子.CFOA具有很好的频率特性和端口特性,使得该电路结构简单、中心频率高、有源器件少.电路仿真结果与数值仿真结果一致,仿真结果表明电路设计正确.

一种网格多涡卷混沌Colpitts振荡器及其电路实现

基于单涡卷混沌Colpitts振荡器模型,对使用不同非线性函数构造多涡卷混沌Copitts振荡器模型进行了研究,并提出了一种网格多涡卷混沌Colpitts振荡器模型。利用阶跃函数代替单涡卷混沌Colpitts振荡器模型中的非线性函数,以及增加一个饱和函数,构造了一个能产生网格多涡卷混沌吸引子的Colpitts振荡器模型。通过数值仿真与电路实验,验证了该网格多涡卷混沌Colpitts振荡器的可行性。

简化Lorenz系统多翅膀混沌吸引子的设计与电路实现

基于简化Lorenz系统,通过设计非线性函数,得到单方向多翅膀混沌吸引子.在此基础上,通过引入切换控制函数,得到了网格多翅膀混沌吸引子.通过相图、耗散性、平衡点、分岔图和Poincaré截面方法,分析了系统的动力学特性.结果表明,该多翅膀系统具有丰富的动力学行为.设计并实现了网格多翅膀系统的模拟电路,通过示波器观测到网格多翅膀混沌吸引子,验证了该系统的物理可实现性,电路实验结果与数值仿真结果相一致.

基于网格状多涡卷蔡氏混沌系统的数字水印

基于网格状多涡卷蔡氏混沌系统和离散余弦变换(DCT)理论,提出一种改进的数字水印算法。采用网格状多涡卷蔡氏混沌系统生成的混沌序列作为密钥,增强算法的安全性;利用网格状多涡卷混沌系统复杂的混沌动力学行为,弥补低维混沌系统用于数字水印时密钥空间过小的缺陷。实验结果表明,该方案在抗几何攻击、抗裁剪和密钥空间抗穷举攻击方面具有较好的特性。

一个参数未知的网格多涡卷超混沌系统的自适应同步

提出一个网格多涡卷超混沌系统,该系统在x,y两个方向上扩展鞍焦平衡点,可产生任意个数的涡卷.通过Lyapunov指数谱、平衡点、分岔图、复杂度等动力学分析,系统在较大的参数区间内呈超混沌状态,且随着涡卷数的增加,系统的复杂度和最大Lyapunov指数均明显增加,系统的动力学行为变得更复杂.根据Lyapunov指数稳定理论,研究系统参数未知的自适应同步.数值实验结果表明,该方法的同步时间较短,同步效果较好.

基于多尺度网格细胞的路径整合模型

针对类脑机制下空间位置自主推算问题,提出一种基于新型叠加算法的路径整合模型,通过引入多尺度网格细胞提高路径整合结果的准确性。在路径整合模型中,基于吸引子网络构建网格细胞与头朝向细胞模型,通过头朝向变化量来判断运行体的运行状态,完成不同运动的整合过程;采用动态权重值分别计算直线运动与曲线运动过程中多尺度网格细胞的位移变化量,提高路径整合的精度。仿真结果表明,单一尺度与多尺度网格细胞路径整合模型都能够完成路径整合,且在3000m的距离内,多尺度网格细胞模型误差不超过15m,证明了多尺度网格细胞模型能够提高路径整合的精度,验证了该路径整合模型的有效性。

无环境信息下多尺度网格细胞群空间表征模型

针对无环境信息条件下网格细胞空间表征问题,提出一种多尺度网格细胞群的空间表征模型。通过减少吸引子网络模型网格细胞的偏好朝向,使网格细胞具有特定的感应方向,仅对特定方向上的速度产生响应。基于改进的吸引子网络模型,构建多尺度网格细胞群,并对空间进行表征。仿真结果表明,改进后的网格细胞模型只响应相应方向的速度,准确整合速度信息,表征部分未探索区域,且适用于无环境信息条件下一维、二维空间。在100 m×100 m的区域,表征结果的误差不超过0.2 m,证明了该模型能够扩大网格细胞的表征范围,提高表征精度与表征能力。

无人机类脑吸引子神经网络导航技术

当前无人机在非结构化或未知环境下飞行主要采用SLAM进行导航与定位,存在如下突出问题:依赖高精度昂贵激光雷达等环境感知传感器;需要建立准确世界和无人机物理模型;受环境影响较大;自主智能水平较低,无法较好地满足无人机对导航系统的要求,需要发展自主智能的导航方式。基于吸引子神经网络的类脑导航技术,无需训练模型参数,不依赖高精度传感器,无需精确建模,且复杂环境下鲁棒性较强,具有解决上述问题的潜力。简要阐述了动物大脑导航机理,分析了吸引子神经网络和基于吸引子神经网络的类脑导航关键技术,最后讨论了吸引子类脑导航技术在无人机应用中的挑战。

镜像变换原理及其在非线性动力系统中的应用

给出镜像变换原理并对其进行数学证明,将此原理运用到非线性动力系统中,产生两类网格多翅膀吸引子动力系统.首先基于一个混沌系统,对该混沌系统做关于z轴的镜像对称变换,得到一个2×2翅膀的混沌系统.其次基于一个超混沌系统,对该超混沌系统做关于u轴的镜像对称变换,得到一个2×2翅膀超混沌系统.文中给出两类网格多翅膀吸引子动力系统的仿真结果,证实该原理的可行性.