Pixel clustering by adaptive pixel moving and chaotic synchronization

In this paper, a network of coupled chaotic maps for pixel clustering is proposed. Time evolutions of chaotic maps in the network corresponding to a pixel cluster are synchronized with each other. Those synchronized trajectories are desynchronized with respect to the time evolutions of chaotic maps corresponding to other pixel clusters in the same image. A pixel motion mechanism is also introduced, which makes each group of pixels more compact and, consequently, makes the model robust enough to classify ambiguous pixels. Another feature of the proposed model is that the number of pixel clusters does not need to be previously known.     

非光滑系统的混沌同步

通过广义哈密顿系统和观测器法,本文将非光滑混沌系统的同步问题转化成了研究光滑系统零解的稳定性,从而给出了混沌同步的条件．对具体的带于摩擦,碰撞的Duffing振子分别进行研究,使其达到了完全同步,表明该方法的正确性．     

On feedback-controlled synchronization of chaotic systems

This paper studies a general setting of chaos synchronization in the form of a generalized Lur’e system, which includes both the classical and an earlier version of generalized Lur’e systems as special cases. More significantly, for this general setting, some fairly simple and easily used algebraic conditions are derived for verification and design of unidirectional feedback-controlled chaos synchronization. The Chen and Rössler systems are used as examples for illustration.     

Reliable synchronization of nonlinear chaotic systems

This article addresses the reliable synchronization problem for a general class of chaotic systems. By combining the Lyapunov stability theory with the linear matrix inequality (LMI) optimization technique, a reliable feedback controller is established to guarantee synchronization between the master and slave chaotic systems even though some control component (actuator) failures occur. Finally, an illustrative example is provided to demonstrate the effectiveness of the results developed in this paper.     

连续混沌系统的混沌同步控制

给出了一种实现混沌系统混沌同步的控制方法．通过引入一待定的控制项,将两系统的混沌同步问题转化为讨论与其对应的线性系统的0解渐近稳定性问题,然后根据线性系统控制理论确定此控制项,以实现两混沌系统的同步目的．该方法简单易行,可有效的实现两个混沌系统的混沌同步,且其同步是全局渐近稳定的．     

分数阶混沌系统的延迟同步

基于分数阶线性系统的稳定性理论,结合反馈控制和主动控制方法,提出了实现分数阶混沌系统的延迟同步的一种新方法．该方案通过设计合适的控制器将分数阶混沌系统的延迟同步问题转化为分数阶线性误差系统在原点的渐近稳定性问题．分数阶Chen系统的数值模拟结果验证了该方案的有效性．     

具有死区输入的分数阶混沌系统的有限时间同步

本文提出一种新型分数阶滑模控制方案来实现两个不同分数阶混沌系统的有限时间同步. 首先, 根据实际情况, 在研究系统同步过程中, 充分考虑死区非线性输入、参数不确定性、模型不确定性以及外界扰动对系统的影 响, 然后, 采用Lyapunov稳定理论证明滑模阶段和趋近阶段均是有限时间收敛的, 最后, 给出一个仿真实例充分验证本文所提出控制策略的有效性和可行性.     

Some synchronization criteria for bidirectionally-coupled chaotic systems

Based on the stability theory of linear time-varying continuous system,this paper investigates the synchronization of two linear bidirectionally-coupled systems.Sufficient conditions for asymptotic synchronization are obtained for general chaotic system with bidirectional coupling via linear error feedback.Since the trajectory of chaotic system is continuous and bounded,one can choose suitable coupled parameters to satisfy the proposed criterion.The criterion can also be applied to the global synchronization for chaotic systems with linear unidirectional coupling.The chaotic Chen system and the generalized Lorenz-like system are taken as examples,the simulations verify the effectiveness of the proposed method.     

Some synchronization criteria for bidirectionally-coupled chaotic systems

1IntroductionChaos synchronization,as a very important topic in thenonlinear science ,has been developed extensivelyinthelastfew years [1,2] .A wide variety of approaches [1 ~9]have been proposed for the synchronization of chaoticsystems which include linear and nonlinear feedback,adaptive control ,etc . Most of the methods mentionedabove synchronize two coupled identical chaotic systems .Accordingto the condition of coupling signal ,they can beclassified into bidirectional [3 ~5] and unidirec…     

No-chatter model-free sliding mode control for synchronization of chaotic fractional-order systems with application in image encryption

Multimedia Tools and Applications - Synchronization of different Chaotic dynamical systems is one of the main issues in engineering which has a lot of applications in applied sciences like secure...     

融合并行混沌萤火虫算法的K-调和均值聚类

针对K-调和均值算法易陷于局部最优的缺点,提出一种基于改进萤火虫算法(firefly algorithm, FA)的K-调和均值聚类算法。将基于FA的粗搜索与基于并行混沌优化FA的精细搜索相结合,其中精细搜索部分首先通过FA搜索到当前最优解及次优解,然后通过改进的logistic映射与并行混沌优化策略产生混沌序列在其附近直接搜索,以增强算法的寻优性能。最终,将这种改进的FA用于K-调和均值算法聚类中心的优化。实验结果表明:该算法不但对几种测试函数具有更高的搜索精度,而且对6种数据集的聚类结果均有一定的改善,有效地抑制了K-调和均值算法陷于局部最优的问题,提高了聚类准确性和稳定性。     

非恒同混沌系统的全状态广义同步

在已有的广义同步定义基础上,提出了一种新的概念-非恒同混沌系统的全状态广义同步(FSGS),给出了实现全状态广义同步的统一的控制器形式,该控制器适用范围人,结构相对简单,并且是白适应的.以Chua电路、Lorenz系统、Rossler系统和Liu系统为例,数值实验验证了该方法的有效性,该控制方法可以很快的实现两个混沌系统的全状态广义同步.     

一类混沌系统的量化同步

针对信息受限的条件,研究了一类连续混沌系统的同步问题.通过一个有限容量的信道,将具有混沌形式的驱动系统和基于观测器的响应系统连接.在这种情况下,设计了有效的量化方法使得同步误差关于传输误差是输入状态稳定(ISS),同时保证传输误差是指数衰减的.从而使得混沌同步误差在信道容量有限条件下渐近趋于零.最后通过数值例子说明了本文方法的有效性.     

Partial synchronization and clustering in a system of diffusively coupled chaotic oscillators

We examine the problem of partial synchronization (or clustering) in diffusively coupled arrays of identical chaotic oscillators with periodic boundary conditions. The term partial synchronization denotes a dynamic state in which groups of oscillators synchronize with one another, but there is no synchronization among the groups. By combining numerical and analytical methods we prove the existence of partially synchronized states for systems of three and four oscillators. We determine the stable clustering structures and describe the dynamics within the clusters. Illustrative examples are presented for coupled Rössler systems. At the end of the paper, synchronization in larger arrays of chaotic oscillators is discussed.     

参数不确定混沌系统的时滞同步

当混沌系统参数不确定时,采用自适应控制方法,研究了系统间的时滞同步问题。基于Lyapunov稳定性理论,给出了同步条件,并识别出了系统的未知参数。理论推导严格证明了结果的正确性;同时,以Lorenz系统为例进行了数值仿真与说明。     

混沌系统的有限时间滑模同步控制

采用滑模控制的方法,研究了两个不同的带有不确定性和外部扰动的混沌系统之间的同步问题。基于Lyapunov稳定性理论和有限时间滑模控制方法,设计了终端滑模控制器来实现两个混沌系统的同步。在设计控制器过程中提出了一个新的非奇异的终端滑模面,并证明它能在有限时间内收敛于零平衡点。通过数值仿真验证了所设计的控制器的有效性。     

Designing lag synchronization schemes for unified chaotic systems

Lag synchronization of chaotic unified systems is investigated theoretically and numerically. Three kinds of single-controller schemes are designed to achieve lag synchronization of the so-called chaotic unified systems and some results are proved theoretically using Lyapunov’s stability theory. Computer simulations are then provided to show the effectiveness and feasibility of the proposed methods.     

基于有限时间观测器的离散系统混沌同步

本文基于驱动-响应模型针对一类离散时间混沌系统提出了一种基于有限时间观测器的同步方法.首先,将混沌系统写成具有未知输入的线性系统形式.随后,给出了观测器匹配条件和强可观条件.在观测器匹配条件的假设下,通过适当的状态变换,给出了具有降维形式的有限时间观测器设计框架使得该观测器不再受到未知输入的影响.然后,证明了强可观条件结合观测器匹配条件可以保证一个有限时间观测器的存在,该观测器可以使得响应系统达到对驱动系统的精确同步,且达到同步所需要的时间可以任意设定,不受观测器系统矩阵极点配置和初值条件的影响.最后,给出了两个混沌系统的例子验证了所提方法的有效性.     

Control and synchronization of chaotic systems by an improved biogeography-based optimization algorithm

Biogeography-based optimization algorithm (BBO) is a relatively new optimization technique which has been shown to be competitive to other biology-based algorithms. However, there is still an insufficiency in BBO regarding its migration operator, which is good at exploitation but poor at exploration. To address this concerning issue, we propose an improved BBO (IBBO) by using a modified search strategy to generate a new mutation operator so that the exploration and exploitation can be well balanced and then satisfactory optimization performances can be achieved. In addition, to enhance the global convergence, both opposition-based learning methods and chaotic maps are employed, when producing the initial population. In this paper, the proposed algorithm is applied to control and synchronization of discrete chaotic systems which can be formulated as high-dimension numerical optimization problems with multiple local optima. Numerical simulations and comparisons with some typical existing algorithms demonstrate the effectiveness and efficiency of the proposed approach.