统一混沌系统反馈同步及在保密通信中的应用

基于非线性系统的状态线性化理论,设计了一种新的统一混沌系统同步控制器,实现了加密信息信号准确的恢复.首先通过坐标变换,将驱动系统和响应系统分别转化为类规范型系统,然后对两个类规范型系统构造误差方程.根据线性系统极点配置方法设计反馈控制器,从而实现两个混沌系统全部状态同步.进而,在发送端用多个混沌信号对信息信号进行掩盖后传送出去,在接收端对混沌掩盖信号进行解密从而恢复出信息信号.最后进行数字仿真,仿真结果验证了该方法的有效性.     

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.     

陈氏混沌系统的稳定追踪控制

利用非线性反馈控制实现陈氏混沌系统在有界条件下对任意信号的追踪．根据系统结构特点选取合适的反馈方式．设计非线性控制律．并由Lyapunov直接方法证明误差信号渐近稳定于零且所有变量满足有界条件．数值研究结果表明．受控系统可对任意形式光滑参考信号（包括其他混沌系统的输出信号）进行追踪．该方法是一种物理可实现的稳定追踪控制方法．也可用于不同混沌系统之间的异结构同步．     

语音混沌掩盖保密通信系统研究与实现

本文在DSP平台上构建了实时语音混沌掩盖保密通信系统。首先通过分析混沌掩盖信号和语音信号的功率谱,研究了安全性,从而给出了低通滤波器和放大器相结合的方法,产生适用于混沌掩盖的信号。其次针对DSP系统发送端和接收端的同步误差积累导致失步问题,给出周期强制同步方法,使同步误差被控制在峰-峰值100mV～250mV的范围内。实现了基于Lorenz系统的语音混沌掩盖保密通信,通信的语音质量基本满足要求。     

统一混沌系统同步控制及在保密通信中的应用

基于线性反馈同步的理论, 实现了统一混沌系统的线性反馈同步的控制, 并将该混沌同步方式应用于混沌参数调制的保密通信系统中。在系统的发送端利用发送的信息信号调制混沌系统的参数, 将信息信号隐藏在混沌信号中, 在系统的接收端利用混沌同步信号提取出相应的混沌系统参数, 进而恢复出所传输的信息信号。仿真结果表明其同步时间短, 在保密通信系统的接收端恢复出信息信号非常逼近发送的信息信号, 具有较强的保密性和实用性。     

强混沌噪声下的正弦频率估计方法

提出一种强混沌噪声下的正弦频率估计方法,使采样混合信号（混沌正弦信号）通过某一类型滤波器,利用滤波后的信号驱动一个新构建的同类响应混沌系统,若混沌同步发生,则说明在驱动响应信号的误差序列中含有大量正弦成分,且误差中正弦信噪比大大提高,从而可以较容易地估计正弦频率。仿真实验结果表明,该方法是有效可行的。     

统一混沌系统同步及在保密通信中的应用

对统一混沌系统的同步控制和在保密通信中的应用进行了研究．基于李亚普诺夫稳定性理论和线性矩阵不等式方法,设计出一种结构简单、反馈增益小、保守性小的输出反馈控制器;解决了状态不可测情况下统一混沌系统的同步控制问题,实现了性能良好的混沌同步．进而用混沌掩盖的方法将该同步方法应用于保密通信．最后以统一混沌系统的特殊情况洛伦兹系统为例进行了仿真．仿真结果表明可以实现渐近同步,应用于保密通信可以达到掩盖有用信号的目的,并且可以无失真地恢复有用信号．     

基于分数阶积分器的分数阶混沌系统状态观测器同步研究

提出了一种基于分数阶积分器的分数阶混沌系统状态观测器同步算法。通过引入一个新的变量,该变量是将驱动系统的输出信号与传输信道中干扰的和进行分数阶积分处理,然后再作为输入信号加到观测系统中,以便实现分数阶混沌系统的状态观测系统同步。然后利用Lyapunov稳定性理论和线性矩阵不等式证明了该方法的正确性。将该同步方法应用于分数阶Chen混沌系统,得出了同步误差曲线,仿真结果表明了该同步方法的有效性,最终实现了分数阶混沌系统的状态观测器同步。     

基于系统重构的混沌保密通信系统的信息检取

在仅能得到混沌发送信号并能获得足够多未加通信信息的发送信号的情况下，分别对通信信息调制入和未调制入混沌发送系统的两类混沌保密通信系统进行研究。首先用发送信号进行系统重构，然后用重构系统以及未加通信信息的重构点为领域对加有通信信息的发送信号进行一下步预测。文中推导出发送信号、预测信号之差与通信信息之间的关系，并从发送信号中直接提取通信信号。以Ｌｏｒｅｎｚ系统为例说明本文结论。     

基于分数阶陈氏混沌系统的图像加密算法

由于分数阶混沌动力学系统比整数阶系统具有更复杂的动力学特性,且能为图像加密方案提供更多的自由度,基于分数阶陈氏混沌系统,提出了一种图像加密方法。在发送端,驱动系统产生混沌信号,利用混沌信号扰乱明文图像的像素位置,将扰乱后的图像掩盖在混沌信号中,得到传输的密文图像。在接收端,通过同步系统去掩盖,进行像素位置扰乱的逆操作,恢复明文图像。最后对提出的加密算法进行了安全性分析。实验结果表明,该加密算法安全性高,具有良好的研究价值和应用前景     

A new arc detection method based on fuzzy logic using S-transform for pantograph–catenary systems

pantograph–catenary system is one of the critical components used in electrical trains. It ensures the transmission of the electrical energy to the train taken from the substation that is required for electrical trains. The condition monitoring and early diagnosis for pantograph–catenary systems are very important in terms of rail transport disruption. In this study, a new method is proposed for arc detection in the pantograph–catenary system based signal processing and S-transform. Arc detection and condition monitoring were achieved by using current signals received from a real pantograph–catenary system. Firstly, model based current data for pantograph–catenary system is obtained from Mayr arc model. The method with S-transform is developed by using this current data. Noises on the current signal are eliminated by applying a low pass filter to the current signal. The peak values of the noiseless signals are determined by taking absolute values of these signals in a certain frequency range. After the data of the peak points has been normalized, a new signal will be obtained by combining these points via a linear interpolation method. The frequency-time analysis was realized by applying S-transform on the signal obtained from peak values. Feature extraction that obtained by S-matrix was used in the fuzzy system. The current signal is detected the contdition as healthy or faulty by using the outputs of the fuzzy system. Furthermore the real-time processing of the proposed method is examined by applying to the current signal received from a locomotive.     

Integrated design of fault detection systems in time-frequencydomain

Problems related to the integrated design of robust fault detection (FD) systems are studied. First, it is revealed that due to the time window introduced to realize the 2-norm based evaluation function, an optimal design of a FD system with the 2-norm based evaluation function may not ensure the expected optimal performance when the system is realized in real applications. To solve this problem, an integrated design method of FD systems using the absolute value of residual signal as evaluation function is then proposed. It leads to a residual generator which is much easier to be realized. Different from the usual 2-norm based approaches whose mathematical basis is the relationship between the energy of the output and input signals of a dynamic system, a relationship between the instant power of the output signal and the energy of the past input signal of a dynamic system is established and further used for FD system design. Another new kind of evaluation function based on the absolute value of wavelet transform of residual signal and the corresponding integrated design approach for FD systems are further proposed     

Linux系统中多核实时调度平台的设计

为使各种实时调度算法能够在Linux环境中得到运行和验证,设计一种Linux系统中的公共多核调度平台。该平台由调度模块和跟踪测试模块组成,调度模块实现系统调用、调度处理以及同步功能,跟踪测试模块实现日志和跟踪功能。测试结果表明,该平台可正确显示调度算法的运行结果。     

一种具有结构或参数失配的混沌系统同步方法

本文讨论了不同结构或具有相同结构但参数失配的混沌系统的同步问题.根据扩张状态观测器的思想构造“扩张系统”以表达结构或参数的差异,并挖掘可测同步误差中所隐含的信息对“扩张系统”的各个状态进行估计,在此基础上设计物理上可实现的控制器,实现了两个具有模型或参数失配的混沌系统的同步.以Lorenz系统和Duffing,VanderPol系统为例进行仿真,同步效果很好.     

基于操作系统调用的容错计算机系统同步技术研究

同步是实现基于表决的容错计算机系统的关键过程．现有的采用基于硬件或应用软件同步技术的系统存在设计和制造困难、兼客性差和难以使用等问题．提出了一种基于操作系统调用的同步机制；描述了其同步算法；介绍了在Linux操作系统上的实现．该同步机制对应用程序完全透明，同步点无需人工设置，同步算法由软件和硬件结合的方式实现．实验结果表明该同步机制是可行的，较好地达到了系统易设计和好使用的目标．     

利用自适应控制实现蔡氏电路的标量混沌信号同步

把非线性系统的微分几何理论与混沌系统的同步控制目标相结合，设计了蔡氏电路混沌系统的标量混沌信号同步控制的非线性反馈控制器。在该控制器的作用下，使受控系统同步于给定标量混沌信号，而且同步的效果是大范围渐近稳定的，并具有较强的鲁棒性，计算机仿真结果证实了所设计的控制器的有效性。     

Stochastic chaos synchronization using Unscented Kalman-Bucy Filter and sliding mode control

This paper presents an algorithm for synchronizing two different chaotic systems by using a combination of Unscented Kalman-Bucy Filter (UKBF) and sliding mode controller. It is assumed that the drive chaotic system is perturbed by white noise and shows stochastic chaotic behavior. In addition the output of the system does not contain the whole state variables of the system, and it is also affected by some independent white noise. By combining the UKBF and the sliding mode control, a synchronizing control law is proposed. Simulation results show the ability of the proposed method in synchronizing chaotic systems in presence of noise.     

GPS/INS组合导航系统时间同步系统设计

为了说明高动态环境中时间同步对于组合导航系统的重要性,在Kalman滤波方程的基础上,推导了时间同步误差与Kalman滤波结果之间的定性关系.提出一种利用GPS接收机中1PPS(Pulse Per Second)信号作为同步标签的时间同步方法,将IMU中的数据加上精确的时间标签,从而达到时间同步的目的.全部时间同步功能由FPGA实现,利用Verilog HDL语言进行开发,整体硬件结构简单而且适用范围广.试验结果显示了这种时间同步设计可以明显减小滤波结果的估计误差,有效的提高了组合导航系统的定位精度.     

量子密码通信的信号发送与处理系统

自行研制了一套用于量子密码通信的信号发送与处理系统,该系统将自制的半导体激光器驱动电路、相位调制器驱动电路、单光子探测器电路、数据处理及计算机通讯等电路连接起来,与相应光纤光路一起构成了我国第一个光纤量子密码通信系统。     

Effective synchronizing algorithms

The notion of a synchronizing sequence plays an important role in the model-based testing of reactive systems, such as sequential circuits or communication protocols. The main problem in this approach is to find the shortest possible sequence which synchronizes the automaton being a model of the system under test. This can be done with a synchronizing algorithm. In this paper we analyze the synchronizing algorithms described in the literature, both exact (with exponential runtime) and greedy (polynomial). We investigate the implementation of the exact algorithm and show how this implementation can be optimized by use of some efficient data structures. We also propose a new greedy algorithm, which relies on some new heuristics. We compare our algorithms with the existing ones, with respect to both runtime and quality aspect.