高速数据传输控制系统的设计

介绍了一种光盘数据高速传输控制系统。该系统相对计算机独立工作,可以方便灵活地组成各种数据传输控制系统,避免了计算机主机系统的介入,大大缩小了控制系统的复杂程度,避免了总线对连接设备个数的限制。使用16倍速DVD ROM,应用PIOMode4协议,在理论上该系统可以达到16 6Mbit/s的最高猝发传输速度。系统中央处理器采用单片机系统,通过内部编程,可以适应于不同的使用场合。输出端口使用数据缓冲器,以保证数据高速连续输出。     

Synchronizing Chaotic Systems in Strict—Feedback Form Using a Single Controlle

A synchronization method is proposed for a class of chaotic systems which can be translated into the strictfeedback form.This approach needs only a single controller and turns out to be globally exponentially asymptotically stable.The effectiveness of this approach has been demonstrated with the Rossler chaotic system.     

液晶光阀光学特性实验中系统控制器的改造和设计

本文针对在液晶光阀光学特性实验中,集多种功能于一体的系统控制器,由于功能键频繁切换,导致按键失灵,实验无法正常进行的难题,采用将光强键的功能从系统控制器中分离出来的设计方案,设置独立的电路,将系统控制器中的光强采集及显示独立出来,保证了学生实验教学的正常进行．     

利用标量控制器实现一类混沌系统同步

研究了一类混沌系统的混沌同步，对此类混沌系统，通过设计一个合适标量控制器，可以实现系统的混沌同步.给出了该标量控制器设计的一般方法，并从理论上得到了混沌同步的充分和必要条件，且此充分和必要条件与混沌系统的性质无关. 关键词： 混沌系统 标量控制器 混沌同步     

高速摄影机数据记录系统研究

同时记录与高速事件相关的信息是进行胶片判读处理的必要条件,数据记录系统就是由高速摄影机的同步控制信号控制选通,将与事件相关的信息经特殊处理,由集成数据点阵头记录在胶片上,为此后的胶片判读及对拍摄事件进行更精细的分析处理提供定量、实时的依据。     

陈氏混沌系统的采样数据反馈控制

提出了基于采样数据反馈控制技术对陈氏混沌系统进行控制的理论.以给定的采样速率对陈氏混沌系统的输出进行采样.利用采样数据去构造离散时间控制算法,以达到将陈氏混沌系统控制到原点的目的.给出了被控制系统渐近稳定的理论证明,并给出了数值试验的结果. 关键词：     

基于DSP的磁场电源控制器软件设计

 为了使兰州重离子加速器冷却储存环的磁场电源控制器及时更新输出的波形数据，以TI公司的TM320C6713芯片为中央处理器，结合FPGA逻辑编程，采用双FIFO数据缓存机制和Aitken插值算法，编写并优化了磁场电源控制器软件系统。利用数据驱动模式的编程方式提高了系统的执行效率和可维护性。同时通过对更新的波形数据做Aitken插值运算，使其大小减少为原始数据的1/1024，提高了数据的传输和存储效率。经现场测试，本软件系统运行稳定可行，达到设计要求。     

Synchronization Scheme for Uncertain Chaotic Systems via RBF Neural Network

A sliding mode adaptive synchronization controller is presented with a neural network of radial basis function （RBF） for two chaotic systems. The uncertainty of the synchronization error system is approximated by the RBF neural network. The synchronization controller is given based on the output of the RBF neural network. The proposed controller can make the synchronization error convergent to zero in 5s and can overcome disruption of the uncertainty of the system and the exterior disturbance. Finally, an example is given to illustrate the effectiveness of the proposed synchronization control method.     

Fault tolerant synchronization of chaotic systems based on T-S fuzzy model with fuzzy sampled-data controller

In this paper the fault tolerant synchronization of two chaotic systems based on fuzzy model and sample data is investigated.The problem of fault tolerant synchronization is formulated to study the global asymptotical stability of the error system with the fuzzy sampled-data controller which contains a state feedback controller and a fault compensator.The synchronization can be achieved no matter whether the fault occurs or not.To investigate the stability of the error system and facilitate the design of the fuzzy sampled-data controller,a Takagi-Sugeno(T-S) fuzzy model is employed to represent the chaotic system dynamics.To acquire good performance and produce a less conservative analysis result,a new parameter-dependent Lyapunov-Krasovksii functional and a relaxed stabilization technique are considered.The stability conditions based on linear matrix inequality are obtained to achieve the fault tolerant synchronization of the chaotic systems.Finally,a numerical simulation is shown to verify the results.     

Adaptive fuzzy nonlinear inversion-based control for uncertain chaotic systems

<正>This paper presents a robust output feedback control method for uncertain chaotic systems,which comprises a nonlinear inversion-based controller with a fuzzy robust compensator.The proposed controller eliminates the unknown nonlinear function by using a fuzzy system,whose inputs are not the state variables but feedback error signals.The underlying stability analysis as well as parameter update law design are carried out by using the Lyapunov-based technique.The proposed method indicates that the nonlinear inversion-based control approach can also be applied to uncertain chaotic systems.Theoretical results are illustrated through two simulation examples.     

基于Min-Max方法的混沌系统采样同步控制研究

针对含有扰动的混沌系统, 设计采样同步控制器, 利用输入时滞法将含有采样同步控制器的混杂系统转换为具有输入时滞的连续系统. 并考虑对系统影响最坏的干扰程度, 在该种情况下, 基于线性矩阵不等式(LMI)技术和min-max鲁棒控制方法, 给出了使误差系统稳定的充分条件, 确保混沌系统在所容许的扰动下均能实现完全同步. 仿真结果说明所设计的采样同步控制方案具有很强的鲁棒性, 适合应用于保密通信系统中. 关键词： 混沌同步 采样控制 min-max方法 输入时滞     

Improvement on generalised synchronisation of chaotic systems

In this paper,the problem of generalised synchronisation of two different chaotic systems is investigated.Some less conservative conditions are derived using linear matrix inequality other than existing results.Furthermore,a simple adaptive control scheme is proposed to achieve the generalised synchronisation of chaotic systems.The proposed method is simple and easy to implement in practice and can be applied to secure communications.Numerical simulations are also given to demonstrate the effectiveness and feasibility of the theoretical analysis.     

基于自适应模糊控制的分数阶混沌系统同步

本文主要研究了带有未知外界扰动的分数阶混沌系统的同步问题.基于分数阶Lyapunov稳定性理论,构造了分数阶的参数自适应规则以及模糊自适应同步控制器.在稳定性分析中主要使用了平方Lyapunov函数.该控制方法可以实现两分数阶混沌系统的同步,使得同步误差渐近趋于0.最后,数值仿真结果验证了本文方法的有效性.     

Stochastic asymptotical synchronization of chaotic Markovian jumping fuzzy cellular neural networks with mixed delays and the Wiener process based on sampled-data control

We investigate the stochastic asymptotical synchronization of chaotic Markovian jumping fuzzy cellular neural networks (MJFCNNs) with discrete, unbounded distributed delays, and the Wiener process based on sampled-data control using the linear matrix inequality (LMI) approach. The Lyapunov-Krasovskii functional combined with the input delay approach as well as the free-weighting matrix approach is employed to derive several sufficient criteria in terms of LMIs to ensure that the delayed MJFCNNs with the Wiener process is stochastic asymptotical synchronous. Restrictions (e.g., time derivative is smaller than one) are removed to obtain a proposed sampled-data controller. Finally, a numerical example is provided to demonstrate the reliability of the derived results.     

Synchronization of generalized Hénon map using polynomial controller

This Letter presents the chaos synchronization of two discrete-time generalized Hénon map, namely the drive and response systems. A polynomial controller is proposed to drive the system states of the response system to follow those of the drive system. The system stability of the error system formed by the drive and response systems and the synthesis of the polynomial controller are investigated using the sum-of-squares (SOS) technique. Based on the Lyapunov stability theory, stability conditions in terms of SOS are derived to guarantee the system stability and facilitate the controller synthesis. By satisfying the SOS-based stability conditions, chaotic synchronization is achieved. The solution of the SOS-based stability conditions can be found numerically using the third-party Matlab toolbox SOSTOOLS. A simulation example is given to illustrate the merits of the proposed polynomial control approach.     

Modified KdV–Zakharov–Kuznetsov dynamical equation in a homogeneous magnetised electron–positron–ion plasma and its dispersive solitary wave solutions

This paper presents a new compound synchronisation scheme among four hyperchaotic memristor system with incommensurate fractional-order derivatives. First a new controller was designed based on adaptive technique to minimise the errors and guarantee compound synchronisation of four fractional-order memristor chaotic systems. According to the suitability of compound synchronisation as a reliable solution for secure communication, we then examined the application of the proposed adaptive compound synchronisation scheme in the presence of noise for secure communication. In addition, the unpredictability and complexity of the drive systems enhance the security of secure communication. The corresponding theoretical analysis and results of simulation validated the effectiveness of the proposed synchronisation scheme using MATLAB.     

一类参数不确定混沌系统的自适应同步

基于Lyapunov稳定性原理，对一类参数不确定混沌系统，提出一种自适应同步控制方法.给出了自适应同步控制器和参数自适应律的解析表达式，对于具体的误差系统，控制器结构还可以进一步简化.该方法较为简单，适用范围广.以新混沌和超混沌Chen系统为例，数值模拟证明了该方法的有效性和可行性. 关键词： 参数不确定混沌系统 自适应同步 新混沌系统 超混沌Chen系统     

基于非线性控制的超混沌Chen系统混沌同步

研究了基于非线性控制的超混沌Chen系统的混沌同步问题.基于Lyapunov稳定性理论，设计了非线性控制器，改进了Jiang和Huang等设计的同步误差系统的Lyapunov函数形式，理论证明了超混沌Chen系统的自同步和超混沌Chen系统与超混沌R?ssler系统的异结构同步.数值模拟进一步验证了所提出方案的有效性. 关键词： 超混沌Chen系统 自同步 异结构同步 非线性控制器