混沌动力系统中Rossler奇异吸引子数值仿真分析

针对非线性动力学理论中的混沌系统的Rossler奇异吸引子,采用三种数值方法求解三阶Rossler微分方程组,用Matlab语言设计了GUI界面,编制了Rossler奇异吸引子的计算机仿真程序,用相轨直接观察法对混沌系统的运动轨迹特性进行可视化分析,验证了混沌动力系统的初值敏感性等基本特性.     

分数阶四维忆阻超混沌系统的滑模同步

研究了分数阶四维忆阻超混沌系统滑模同步的两种方法,设计分数阶控制器与滑模函数,获得分数阶忆阻超混沌系统滑模同步两个充分条件,研究表明:在设计适当的滑模面与控制律下,不确定分数阶忆阻超混沌系统可取得滑模同步.     

多涡旋混沌同步和分数阶混沌同步

为探讨混沌同步现象和相应的动力学特性,研究了两类特殊的混沌系统即多涡旋混沌系统和分数阶混沌系统的同步.为此,设计了一种非线性反馈控制器,实现了多涡旋类Lorenz的混沌吸引子的投影同步;通过改变投影同步的比例系数,获得了与激励系统相对应的状态变量的任意比例输出.此设计还实现了分数阶超混沌系统的状态向量与任意信号的追踪同步,从而控制分数阶混沌信号趋于期望的周期轨道或平衡点,并实现分数阶混沌系统与整数阶混沌系统的异构追踪同步.最后设计了具有分数阶混沌特性的电路,借助仿真实验证实了分数阶超混沌系统的动力学行为.这些研究结果可以应用于许多领域,例如宏观经济系统的数据分析、保密通讯系统分析与设计等.     

超混沌系统的函数投影同步与参数辨识

研究了一参数未知超混沌系统的函数投影同步问题．基于李雅谱诺夫稳定性理论,设计了实现混沌系统函数投影同步的有效非线性控制器,可以快速实现超混沌系统的加速函数投影同步,同时设计了参数控制律,有效的辨识了系统的未知参数,数值仿真验证了理论分析和数值计算的正确性．     

不确定混沌系统的混合投影同步

本文研究了一类不确定混沌(超混沌)系统的混合投影问题.利用自适应方法和Lyapunov稳定性理论,获得了两个恒同或不同混沌系统实现混沌投影同步的一般方法.最后,数值仿真的结果验证了方法的有效性和鲁棒性.     

超混沌分数阶Bao系统的自适应滑模同步控制

研究超混沌分数阶Bao系统自适应滑模同步,设计出分数阶滑模函数、适应规则和控制器,取得超混沌分数阶Bao系统自适应滑模同步的充分条件,文末用MATLAB数值仿真验证了所得结论.     

一类超混沌系统解的有界性及其应用

本文研究了在保密通信中有着广泛应用的一类超混沌系统解的界,得到了该类超混沌系统解的界估计表达式.然后将所得到的界估计应用到完全同步之中去, 并做出了相应的数值模拟.     

基于相空间重构的混沌投影同步观测器设计

基于相空间重构技术和极点配置方法,设计了一类混沌系统的投影同步状态观测器.利用系统的一个状态变量及其对时间的各阶导数就可使观测器和被观测系统以任意比例因子实现同步.以四阶超混沌系统为例进行数值仿真,仿真结果证明了设计方法的有效性.     

金融动力系统的同步脉冲控制

针对一类金融三维动力系统,提出了一种同步控制法.基于微分脉冲系统理论,设计了带状态反馈的脉冲控制策略来实现系统的同步控制.理论分析和数值模拟的结果都验证了控制器的有效性.这一控制策略简单便于实现,更可以用于一般非线性混沌系统的控制.     

一类分数阶超混沌系统修正函数投影同步的滑模控制

对一类具有未知参数的分数阶超混沌系统的修正函数投影同步进行研究.通过设计响应系统的补偿器,进而得到修正函数投影同步的误差系统.基于自适应滑模控制理论和分数阶微分系统的稳定性理论,设计了一种自适应同步的控制方案.通过选取自适应滑模控制器以及参数自适应控制率,最终实现了驱动系统和响应系统修正函数投影同步,并可以对不确定参数进行估计.最后针对结论,以分数阶超混沌L(u|¨)系统为例,利用Adams-Bashfortlh-Moultom算法进行数值仿真,其结果说明了该方法的有效性和可行性.     

Multiswitching dual combination synchronization of time‐delay chaotic systems

This paper presents a novel synchronization scheme of multiswitching dual combination synchronization which is first of its kind. Multiswitching dual combination synchronization is achieved for 6 time‐delay chaotic systems. Asymptotically stable synchronization states are established by nonlinear control method and Lyapunov Krasovskii functional. To elaborate the proposed scheme, an example of time‐delay Rossler, Chen, and Shimizu Morioka systems is considered, where time‐delay Rossler system and Chen system are considered as drive systems and time‐delay Shimizu Morioka system is considered as response system. Theoretical analysis and computational results are in excellent agreement.     

Adaptive Q–S synchronization between coupled chaotic systems with stochastic perturbation and delay

This work investigates the adaptive Q–S synchronization of coupled chaotic (or hyper-chaotic) systems with stochastic perturbation, delay and unknown parameters. The sufficient conditions for achieving Q–S synchronization of two stochastic chaotic systems are derived based on the invariance principle of stochastic differential equation. By the adaptive control technique, the control laws and the corresponding parameter update laws are proposed such that the stochastic Q–S synchronization of non-identical chaotic (or hyper-chaotic) systems is to be obtained. Finally, two illustrative numerical simulations are also given to demonstrate the effectiveness of the proposed scheme.     

A general scheme for Q-S synchronization of chaotic systems

This paper addresses the Q-S synchronization between chaotic and/or hyper-chaotic systems. Based on the Lyapunov stability theorem, a general scheme for Q-S synchronization of chaotic and/or hyper-chaotic systems is proposed. The drive and response systems discussed in this paper can be strictly different dynamical systems (including different dimensional systems). Four illustrative numerical simulations are also given to demonstrate the effectiveness of the proposed general scheme for Q-S synchronization.     

Adaptive synchronization to a general non-autonomous chaotic system and its applications

In this paper, new adaptive synchronous criteria for a general class of n-dimensional non-autonomous chaotic systems with linear and nonlinear feedback controllers are derived. By suitable separation between linear and nonlinear terms of the chaotic system, the phenomenon of stable chaotic synchronization can be achieved using an appropriate adaptive controller of feedback signals. This method can also be generalized to a form for chaotic synchronization or hyper-chaotic synchronization. Based on stability theory on non-autonomous chaotic systems, some simple yet less conservative criteria for global asymptotic synchronization of the autonomous and non-autonomous chaotic systems are derived analytically. Furthermore, the results are applied to some typical chaotic systems such as the Duffing oscillators and the unified chaotic systems, and the numerical simulations are given to verify and also visualize the theoretical results.     

Identification of 4D Lü hyper-chaotic system using identical systems synchronization and fractional adaptation law

In this paper, the parameters of a 4D Lü hyper-chaotic system are identified via synchronization of two identical systems. Unknown parameters of the drive system are identified by an adaptive method. Stability of the closed-loop system with one state feedback controller is studied by using the Lyapunov theorem. Also the convergence of the parameters to their true values is proved. Then a fractional adaptation law is applied to reduce the time of parameter convergence. Finally the results of both integer and fractional methods are compared.     

A new hyper-chaotic system and its synchronization

This paper presents a new hyper-chaotic system obtained by adding a nonlinear controller to the third equation of the three-dimensional autonomous Chen–Lee chaotic system. Computer simulations demonstrated the hyper-chaotic dynamic behaviors of the system. Numerical results revealed that the new hyper-chaotic system possesses two positive exponents. It was also found that the structure of the hyper-chaotic attractors is more complex than those of the Chen–Lee chaotic system. Furthermore, the hybrid projective synchronization (HPS) of the new hyper-chaotic systems was studied using a nonlinear feedback control. The nonlinear controller was designed according to Lyapunov’s direct method to guarantee HPS, which includes synchronization, anti-synchronization, and projective synchronization. Numerical examples are presented in order to illustrate HPS.     

Dual synchronization of chaotic systems via time-varying gain proportional feedback

In this paper the dual synchronization of chaotic systems via output feedback strategy is investigated. The slave chaotic systems are fed by a scalar signal generated by a linear combination of the master systems state variables. The sufficient condition and design procedure for dual synchronization are presented. The proposed method is applied for dual synchronization of the Lorenz–Rossler, Rossler–Chen and Duffing–Van der Pol chaotic systems through computer simulation. The results show the effectiveness and feasibility of the proposed algorithm.     

Generalized (complete,lag, anticipated) synchronization of discrete-time chaotic systems

A unify definition of generalized (complete, lag, anticipated) synchronization in discrete-time chaotic systems is proposed in this paper. Based on the contraction mapping theorem, a new general scheme is proposed for the generalized synchronization of discrete-time chaotic and hyper-chaotic systems. The well-known Hénon mapping and generalized hyper-chaotic Hénon mapping are chosen to illustrate the proposed scheme. Numerical simulations are also shown to verify the effectiveness of the proposed control method.     

Adaptive synchronization of identical chaotic and hyper-chaotic systems with uncertain parameters

This paper addresses a unified mathematical expression describing a class of chaotic systems, for which the problem of adaptive synchronization between two nearly identical chaotic and hyper-chaotic systems with uncertain parameters is studied. Based on Lyapunov stability theory, a novel adaptive synchronization controller is designed, and the analytic expression of the controller and the adaptive laws of parameters are developed. The controller is simple and systemic, no parameters of the slave system are included in the controller, and, for some specific error systems, the controller can be simplified ulteriorly. New chaotic and a new hyper-chaotic systems with uncertain parameters are taken as the examples to show the effectiveness of the proposed adaptive synchronization method.