带扰动和未知参数混沌系统变量函数向量同步

研究了带有扰动和未知参数的混沌系统状态变量函数向量同步问题。分别针对驱动系统和响应系统设计出状态变量函数向量,利用自适应反馈原理和Lyapunov定理,构造出控制器,可以保证两状态变量函数向量同步。仿真结果表明该方法的有效性。     

刘氏混沌系统的同步控制

以稳定性理论为基础，针对刘氏混沌系统，给出两种不同的同步方法。第一种方法是一种混合同步方法，即在响应系统的耦合函数中同时设计线性与非线性反馈函数。第二种方法，利用H∞自适应同步思想，构造性地得到刘氏混沌系统的一个H∞自适应同步控制器。理论分析表明这两类控制器的构造都是正确的，通过对误差系统的误差进行仿真分析，从图形上就能得到驱动系统和响应系统状态变量误差的绝对值之和能在短时间趋于零，从而说明这两类控制器的有效性。     

线性时变连续大系统的稳定性

本文应用导数不连续的李雅普诺夫函数结合比较原理,把时变高维大系统稳定性判定,简化为低维定常系统稳定性判定,省略了子系统稳定性判定条件,减弱了时变大系统稳定性条件。     

基于蔡氏电路的混沌同步的研究

该文采用研究混沌连续时间系统的同步方法，基于系统的稳定性准则，分析了蔡氏电路的混沌同步问题，即用同步误差的线性系统的稳定性分析来保证混沌的同步。通过系统的线性项和非线性项的适当分离，使系统的雅可比矩阵的全部特征值为负值，此时响应系统与驱动系统的状态变量之间，存在一个与初值有关的误差，无论初始同步误差多大。都能使同步误差e（t）最终趋于稳定，从而实现新、旧系统的完全同步。运用该方法对蔡氏电路进行计算机仿真实验，得到的仿真结果和分析相符，证明了该方法在研究非线性电路方面是简单有效的，为今后研究类似问题提出了新思路。     

利用部分状态反馈的统一混沌系统的混沌同步

通常混沌同步控制器的设计大都需要全部状态或多个输入,对此利用Lyapunov函数和一些不等式技巧,给出一种新的同步控制器设计方法.该方法仅使用一个输入一个状态反馈,或仅使用两个输入一个状态反馈设计Lorenz混沌系统和Unified混沌系统的同步控制器,实现了二者全局指数混沌同步.该控制器只需一个状态变量,结构简单,实现容易,而且所给算法减小了参数选取的保守性.算例仿真结果表明了所给方法的有效性.     

关于耦合混沌系统完全同步的参数选择

以系统的瞬间特征值作为高质量同步的指标 ,讨论了两个耦合的混沌系统完全同步时参数选择的问题 .当运用线性定常系统稳定性的理论判定耦合后混沌吸引子的线性化同步系统的瞬间特征值时 ,即使其处处有负实部 ,混沌完全同步也会失去 .但是 ,使用线性时变连续系统的稳定性理论分析其瞬间特征值 ,给出耦合函数参数的选择范围 ,耦合的混沌吸引子完全同步的状态就能够达到稳定 .将该分析方法分别应用于R¨ossler和Lorenz混沌系统 ,通过数值仿真 ,发现其结果与理论分析相符 ,从而表明了该分析方法的有效性     

自适应方法实现混沌系统控制与同步

以能大范围实现连续时间混沌系统控制与同步的非线性状态反馈方法为基础,给出了一种可实现两个相同或不同连续时间混沌系统控制与同步的自适应控制策略。当目标和被控系统的状态变量都有界时,被控系统都能大范围同步于给定参考混沌信号。该方法解决了非线性反馈控制器中控制系数的估计问题,并且使同步控制具有一定的鲁棒性。     

混沌同步系统反馈系数的优化设计

为提高混沌同步系统抗信道噪声和元件参数失配干扰的能力，研究具有线性误差方程的一类连续变量反馈同步系统中反馈系数的优化设计问题。推导出反馈系数优化设计的目标函数和约束条件，用MATLAB软件对其进行优化设计。通过对蔡氏电路非线性反馈和线性反馈两种同步方案的仿真及实验表明，用该方法设计的混沌同步系统具有较强的抗干扰能力。     

基于扩张状态观测器的混沌系统同步

利用n阶驱动系统的标量输出信号及其连续的n-1阶导数作为状态变量,得到一个具有Brunowsky规范形式的n阶重构系统.对该重构系统设计状态观测器,并将其作为响应系统.此时只需传输由输出信号与其连续的n阶导数的线性组合构成的标量信号,便可实现混沌系统的同步.当传输信号仅为标量输出信号时,还可通过对重构系统设计扩张状态观测器,挖掘可测同步误差中所隐含的信息来实现混沌系统的同步.对Rossler系统的仿真证明了该方法的有效性.     

非线性耦合统一混沌系统的同步

研究非线性耦合的两个统一混沌系统的同步问题．首先利用线性时变系统的稳定性理论,推出当两个统一混沌系统的误差系统渐近稳定时,耦合函数的参数选择范围,从而得出两个统一混沌系统全局渐近同步的充分条件．然后基于Routh-Hurwitz稳定性判别方法,同样得出了混沌系统同步的一个充分条件．通过数值仿真发现,根据第1种方法选择的参数能使混沌系统全局渐近同步;而依据第2种方法选择的参数,即使误差系统系数矩阵的瞬间特征值具有负实部,也会出现混沌同步失去的情况,从而表明了该分析方法的有效性．     

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…     

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.     

Pseudo-predictor feedback stabilization of linear systems with time-varying input delays

This paper is concerned with stabilization of (time-varying) linear systems with a single time-varying input delay by using the predictor based delay compensation approach. Differently from the traditional predictor feedback which uses the open-loop system dynamics to predict the future state and will result in an infinite dimensional controller, we propose in this paper a pseudo-predictor feedback (PPF) approach which uses the (artificial) closed-loop system dynamics to predict the future state and the resulting controller is finite dimensional and is thus easy to implement. Necessary and sufficient conditions guaranteeing the stability of the closed-loop system under the PPF are obtained in terms of the stability of a class of integral delay operators (systems). Moreover, it is shown that the PPF can compensate arbitrarily large yet bounded input delays provided the open-loop (time-varying linear) system is only polynomially unstable and the feedback gain is well designed. Comparison of the proposed PPF approach with the existing results is well explored. Numerical examples demonstrate the effectiveness of the proposed approaches.     

LESO-based Position Synchronization Control for Networked Multi-Axis Servo Systems With Time-Varying Delay

The position synchronization control (PSC) problem is studied for networked multi-axis servo systems (NMASSs) with time-varying delay that is smaller than one sampling period. To improve the control performance of the system, time-varying delays, modeling uncertainties, and external disturbances are first modeled as a lumped disturbance. Then, a linear extended state observer (LESO) is devised to estimate the system state and the lumped disturbance, and a linear feedback controller with disturbance compensation is designed to perform individual-axis tracking control. After that, a cross-coupled control approach is used to further improve synchronization performance. The bounded-input-bounded-output (BIBO) stability of the closed-loop control system is analyzed. Finally, both simulation and experiment are carried out to demonstrate the effectiveness of the proposed method.      

Synchronization for general complex dynamical networks with sampled-data

In this paper, the sampled-data synchronization control problem is investigated for a class of general complex networks with time-varying coupling delays. A rather general sector-like nonlinear function is used to describe the nonlinearities existing in the network. By using the method of converting the sampling period into a bounded time-varying delay, the addressed problem is first transformed to the problem of stability analysis for a differential equation with multiple time-varying delays. Then, by constructing a Lyapunov functional and using Jensen's inequality, a sufficient condition is derived to ensure the exponential stability of the resulting delayed differential equation. Based on that, the desired sampled-data feedback controllers are designed in terms of the solution to certain linear matrix inequalities (LMIs) that can be solved effectively by using available software. Finally, a numerical simulation example is exploited to demonstrate the effectiveness of the proposed sampled-data control scheme.     

一类线性时变系统的输出反馈控制

基于线性时不变系统能控能观标准型变换及非线性系统高增益观测器方法,本文研究了一类线性时变系统 的输出反馈控制问题. 通过引入时变的状态变量坐标变换,分别设计了线性时变系统的状态反馈控制器、状态观测器以及基于 状态观测器的输出反馈控制器. 进一步地,本文分别证明了观测器动态误差是渐近收敛于零的,而状态反馈控制器以及输出反馈控制器可以 保证闭环系统的渐近稳定性.     

On designing memory state feedback controller for linear systems with interval time-varying delay

This paper is concerned with the design of a memory state feedback controller for linear systems with interval time-varying delays. The time delay is assumed to be a time-varying continuous function belonging to a given interval, which means that the lower and upper bounds of time-varying delay are available. First, a less conservative delayrange-dependent stability criteria is proposed by using a new interval fraction method. In the process of controller synthesis, the history information of system is considered in the controller design by introducing the lower delay state. Moreover, the usual memoryless state feedback controller for the underlying systems could be considered as a special case of the memory case. Finally, two numerical examples are given to show the effectiveness of the proposed method.     

The Liapunov's second method for continuous time difference equations

Among many other cases such as economic and lossless propagation models, continuous time difference equations are encountered as the internal dynamics in a class of non‐linear time delay systems, when controlled by a suitable state feedback which drives the output exponentially to zero. The Liapunov's second method for these infinite dimensional systems has not been extensively investigated in the literature. This paper has the aim of filling this gap. Liapunov's second method theorems for checking the stability and the asymptotic stability of this class of infinite dimensional systems are built up, in both a finite and an infinite dimensional setting. In the finite dimensional setting, the Liapunov function is defined on finite dimensional sets. The conditions for stability are given as inequalities on continuous time. No derivatives are involved, as in the dynamics of the studied systems. In the infinite dimensional setting, the continuous time difference equation is transformed into a discrete time system evolving on an infinite dimensional space, and then the classical Liapunov theorem for the system in the new form is written. In this paper the very general case is considered, that is non‐linear continuous time difference equations with multiple non commensurate delays are considered, and moreover the functions involved in the dynamics are allowed to be discontinuous, as well as the initial state. In order to study the stability of the internal dynamics in non‐linear time delay feedback systems, an exogenous disturbance is added, which goes to zero exponentially as the time goes to infinity. An example is considered, from non‐linear time delay feedback theory. While the results available in the literature are inconclusive as far as the stability of that example is concerned, such stability is proved to hold by the theorems developed in this paper, and is validated by simulation results. Copyright © 2003 John Wiley & Sons, Ltd.     

一类时滞混沌忆阻器神经网络的延迟反同步控制

研究了一类时滞混沌忆阻器神经网络的延迟反同步控制问题．通过构造李亚普诺夫函数及采用微分包含理论和Halanay不等式的研究方法,设计了一个线性反馈控制器,并恰当选择控制器增益实现了一类混沌忆阻器神经网络驱动系统与响应系统之间的延迟反同步,所设计的控制器简单并易于实现．最后,仿真例子验证了所设计的控制器的有效性．