一类统一混沌系统的追踪控制与同步

对一类统一混沌系统进行控制，设计出一种含参控制器，使受控系统追踪任意给定的一维参考信号和三维参考信号，利用Lyapunov方法证明在此控制器作用下该系统按指数速率收敛到参考信号。同时研究了此受控统一混沌系统的自同步及异结构同步问题。利用Chen′s混沌系统进行数值仿真，其结果说明了此控制器设计方法的有效性。     

一类混沌系统的函数矩阵投影同步

研究了一类混沌系统的函数矩阵投影同步问题,基于函数矩阵方法,利用Lyapunov稳定性理论和极点配置理论,设计了两个连续混沌系统之间的同步方案,同时设计了两个离散混沌系统之间的同步方案,实现了驱动系统与动态系统按给定的函数矩阵投影同步,并给出了证明,通过对Lorenz混沌系统,和Henon系统的数值模拟,表明了该方法的有效性.     

基于分数阶滑模控制器的不确定分数阶混沌系统同步

针对具有建模误差和外部干扰的不确定分数阶混沌系统的同步问题,本文通过将分数阶到达律引入滑模控制,提出了一个新型的分数阶滑模控制器.基于Lyapunov稳定理论和分数阶系统稳定理论,分析了被控系统的稳定性.分别以两个分数阶L(u|¨)混沌系统间的同结构同步和分数阶L(u|¨)与分数阶Liu混沌系统间的异结构同步为例进行了数值仿真,仿真结果表明了该控制器的有效性和鲁棒性.     

基于T-S模型的Lurie混沌系统的模糊控制

针对Lurie混沌控制系统,进行了T-S模糊建模和模糊控制器设计,从而实现了Lurie混沌系统的稳定.在用T-S模糊模型精确重构Lurie系统结构的基础上,利用反馈同步思想,基于并行分布补偿(PDC)技术,得到了简单且易实现的控制器.仿真结果验证了该控制方法的有效性.     

加控制器的预估-校正算法在分数阶Chen混沌系统中的实现

讨论了分数阶预估-校正算法,并选定了对Chen混沌系统进行仿真研究.分数阶Chen混沌系统在一定的初始条件下,系统为混沌的并且仍然呈现出丰富和复杂的分数阶混沌动力学行为.在分数阶预估-校正法的基础上,用分段二次函数对Chen混沌系统方程施加控制器,使Chen混沌系统能够渐进稳定到平衡点.最后在MATLAB软件上进行仿真,得到分数阶Chen混沌系统的数值仿真稳定相图.     

基于混沌同步化的广义无源性

对一般类型的混沌系统,提出了一个新的基于同步化的无源性.以Liapunov理论和线性矩阵不等式(LMI)逼近为基础.基于无源性的控制器,不仅要求其同步误差系统无源,同时要求其渐近稳定.解线性矩阵不等式表示的凸最优化问题,可以求得所建议的控制器.对Genesio-Tesi混沌系统和Qi混沌系统的仿真计算,证明所建议格式的有效性.     

采用模糊滑模变结构方案控制Chua混沌系统

基于模糊动态模型 ,研究了 Chua混沌系统的稳定控制问题 .将非线性混沌系统模糊化为局部线性模型 .用 Lyapunov稳定性理论设计出 ,确保模糊动态模型全局渐近稳定的变结构控制器 .仿真验证了方案的有效性 .模糊控制器简单 ,规则少 .     

Chen混沌系统的非线性全局同步控制

研究了Chen提出的一个新的混沌系统的混沌同步问题,利用非线性控制方法设计了三种混沌同步控制器,并用李雅普诺夫方法证明了在混沌控制器作用下,驱动、响应混沌系统可以实现全局同步.数值仿真结果表明,所设计的三种混沌控制器都能有效的实现混沌同步,并且具有很强的鲁棒性.     

超混沌系统的混合同步控制

基于Lyapunov稳定性理论,提出了一种超混沌系统混合同步控制方法,给出并详细证明了Rossler超混沌系统实现自同步的充分条件以及控制律参数的取值范围,并构建了两个不同结构的Rossler超混沌系统的异结构快速同步的数学模型。数值仿真表明了所设控制器的有效性和方法的可操作性．     

N个异结构混沌系统的环链耦合同步

提出了一种通过环链耦合实现N个异结构混沌系统同步的方法.以New系统、Chen系统、Lü系统、Lorenz系统和Rssler系统作为典型的例子,验证了这种同步控制方法的有效性.利用Liapunov稳定性定理,构造控制器的具体形式,并确定了耦合系数的取值范围.仿真模拟结果表明,在控制器的作用下,选择适当的耦合系数值,可以同时使N个异结构混沌系统达到完全同步.     

Adaptive generalized function projective lag synchronization of different chaotic systems with fully uncertain parameters

In this paper, a novel projective synchronization scheme called adaptive generalized function projective lag synchronization (AGFPLS) is proposed. In the AGFPLS method, the states of two different chaotic systems with fully uncertain parameters are asymptotically lag synchronized up to a desired scaling function matrix. By means of the Lyapunov stability theory, an adaptive controller with corresponding parameter update rule is designed for achieving AGFPLS between two diverse chaotic systems and estimating the unknown parameters. This technique is employed to realize AGFPLS between uncertain Lü chaotic system and uncertain Liu chaotic system, and between Chen hyperchaotic system and Lorenz hyperchaotic system with fully uncertain parameters, respectively. Furthermore, AGFPLS between two different uncertain chaotic systems can still be achieved effectively with the existence of noise perturbation. The corresponding numerical simulations are performed to demonstrate the validity and robustness of the presented synchronization method.     

Synchronization of the unified chaotic systems using a sliding mode controller

The unified chaotic system incorporates the behaviors of the Lorenz, the Chen and the Lü chaotic systems. This paper deals with the synchronization of two identical unified chaotic systems where the slave system is assumed to have a single input. A sliding mode controller is proposed to synchronize the two systems. The asymptotic convergence to zero of the errors between the states of the master and the slave systems is shown. Simulations results are presented to illustrate the proposed controller; they indicate that the designed controller is able to synchronize the unified chaotic systems. Also, simulation results show that the proposed control scheme is robust to random bounded disturbances acting on the master system. Moreover, the proposed scheme is applied to the secure communications field, where simulation results indicate that the proposed scheme is effective.     

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.     

Adaptive feedback control for a class of chaotic systems

In this paper, the problem of control for a class of chaotic systems is considered. The nonlinear functions of chaotic systems are not necessarily to satisfy the Lipsichtz conditions, but bounded by a polynomial with the gains unknown. Employing adaptive method, the corresponding controller which renders the closed-loop system asymptotically stable is constructed. The designed controller is robust with respect to certain class of disturbances in the chaotic systems. Simulations on unified chaotic systems and Arneodo chaotic system are performed and the results verify the validity of the proposed techniques.     

Function projective synchronization for fractional-order chaotic systems

This letter investigates the function projective synchronization between fractional-order chaotic systems. Based on the stability theory of fractional-order systems and tracking control, a controller for the synchronization of two fractional-order chaotic systems is designed. This technique is applied to achieve synchronization between the fractional-order Lorenz systems with different orders, and achieve synchronization between the fractional-order Lorenz system and fractional-order Chen system. The numerical simulations demonstrate the validity and feasibility of the proposed method.     

受扰不确定混沌系统的双路组合函数投影同步

研究了具有未知参数和外界扰动的多个混沌系统之间的双路组合函数投影同步问题.首先给出了由四个混沌驱动系统和两个混沌响应系统组成的双路组合函数投影同步系统的定义,然后以Lyapunov稳定性理论和不等式变换方法为分析依据,设计了鲁棒自适应控制器和参数自适应律,使得两路同步系统中的响应系统和驱动系统按照相应的函数比例因子矩阵实现同步,并有效克服未知有界干扰和未知参数的影响.相应的理论分析和数值仿真证明了该同步方案的可行性和有效性.     

Adaptive fuzzy sliding-mode control for multi-input multi-output chaotic systems

This paper describes an adaptive fuzzy sliding-mode control algorithm for controlling unknown or uncertain, multi-input multi-output (MIMO), possibly chaotic, dynamical systems. The control approach encompasses a fuzzy system and a robust controller. The fuzzy system is designed to mimic an ideal sliding-mode controller, and the robust controller compensates the difference between the fuzzy controller and the ideal one. The parameters of the fuzzy system, as well as the uncertainty bound of the robust controller, are tuned adaptively. The adaptive laws are derived in the Lyapunov sense to guarantee the asymptotic stability and tracking of the controlled system. The effectiveness of the proposed method is shown by applying it to some well-known chaotic systems.     

Lag projective synchronization of a class of complex network constituted nodes with chaotic behavior

In this paper, a method of the lag projective synchronization of a class of complex network constituted nodes with chaotic behavior is proposed. Discrete chaotic systems are taken as nodes to constitute a complex network and the topological structure of the network can be arbitrary. Considering that the lag effect between network node and chaos signal of target system, the control input of the network and the identification law of adjustment parameters are designed based on Lyapunov theorem. The synchronization criteria are easily verified.     

Lag synchronizing chaotic system based on a single controller

Lag synchronization of chaotic system is investigated. Three kinds of schemes are proposed to lag synchronize Chen chaotic system. All the three schemes need only a single controller to realize lag synchronization. Especially in the last two schemes, only one state variable is contained in controller, which is of important significance on using chaos lag synchronization for applications. Finally numerical simulations are provided to show the effectiveness of the developed methods.     

受扰不确定混沌系统的降阶修正函数投影同步

研究了具有不同阶数的受扰不确定混沌系统的降阶修正函数投影同步问题.基于Lyapunov稳定性理论和自适应控制方法,设计了统一的非线性状态反馈控制器和参数更新规则,使得混沌响应系统按照相应的函数尺度因子矩阵和混沌驱动系统的部分状态变量实现同步.方法考虑了实际系统中的模型不确定性和外界扰动,具有较强的实用性和鲁棒性.数值仿真证明了控制方法的有效性.