基于粒子群优化算法的高阶累积量滤波器

基于高阶累积量（HOC）的自适应滤波器能够滤除高斯噪声或其它具有对称概率分布函数的噪声，其解法一般采用的是梯度搜索法，但是梯度搜索过程难以避免局部收敛而且计算复杂．粒子群优化算法（PSO）具有算法简洁，易于实现，且不需要梯度信息等优势．使用粒子群优化算法求解高阶累积量自适应滤波器系数优化问题，为滤波器参数的优化提供了一种新的思路．仿真结果表明，使用PSO优化算法求解自适应滤波器系数能获得更高的精度．同时PSO算法受系统跃变的影响较小，因此它在求解非平稳过程模型系统时具有一定的优势．     

基于高阶谱与支持向量机的电力电子电路故障诊断技术

针对现有电力电子电路故障诊断方法存在的不足，研究了采用高阶谱分析和支持向量机(support vector machine，简称SVM)的电力电子电路故障诊断和定位方法。首先利用高阶谱中的双谱技术分析、处理和提取电路状态的故障信息特征；然后设计和采用多类层次支持向量机分类器作为故障模式的训练和识别器，其中，分类器的结构利用模糊C-均值算法(fuzzy C-means，简称FCM)进行了优化；最后采用一个实际的Buck功率电路进行了建模、仿真和验证。结果表明，采用该方法对电力电子电路故障的诊断和定位率可达99%以上，达到了较为理想的诊断精度。     

11/2维倒谱在滚动轴承故障诊断中的应用

从三阶累积量的概念出发,提出了1(1/2)维倒谱的概念,并从理论上推导出其能抑制噪声、提高信噪比.将其应用于实际的滚动轴承故障特征提取中,分析表明,与其他一般的信号处理方法相比1(1/2)维倒谱能有效地从复杂的信号成分中提取出特征信号来,且计算量小、精度高.     

Cumulant-based inverse filters for blind deconvolution

Blind deconvolution of linear time-invariant (LTI) systems has received wide attention in various fields such as data communication and image processing. Blind deconvolution is concerned with the estimation of a desired input signal from a given set of measurements. This paper presents a technique for reconstructing the desired input from only the available corrupted data. The estimator is given in terms of an autoregressive moving average (ARMA) innovation model. This technique is based on higher order statistics (HOS) of a non-Gaussian output sequence in the presence of additive Gaussian or non-Gaussian noise. The algorithm solves a set of overdetermined linear equations using third-order cumulants of the given non-Gaussian measurements in the presence of additive Gaussian or non-Gaussian noise. The inverse filter is a finite impulse response (FIR) filter. Simulation results are provided to show the effectiveness of this method and compare it with a recently developed algorithm based on maximizing the magnitude of the kurtosis of estimate of the input excitation.     

Gain adaptation in sliding mode control of robotic manipulators

In this paper, a novel scheme is proposed to adapt the gains of a sliding mode controller (SMC) so that the problems faced in its practical implementations as a motion controller are overcome. A Lyapunov function is selected for the design of the SMC and an MIT rule is used for gain adaptation. The criterion that is minimized for gain adaptation is selected as the sum of the squares of the control signal and the sliding surface function. This novel approach is tested on a scara-type robot manipulator. The experimental results presented prove its efficacy.     

Output frequency response characteristics of nonlinear systems. Part II: overlapping effects and commensurate multi-tone excitations

The output response of nonlinear systems is strongly dependent on the extent to which different input frequency combinations/intermodulations overlap one another and contribute to a common output frequency component. This makes it hard to determine the actual number of output frequencies, or to determine which of the many possible combinations contribute to a specified output frequency of interest. Systematic algorithms are presented for resolving these issues in a manner, which is both efficient and straightforward to implement on a computer. Three broad classes of input are considered: multi-tone, but nominally incommensurate sinusoids; multi-tone, harmonically related sinusoids and multi-tone excitations that are equi-spaced in frequency. The considered inputs also admit the possibility of a dc bias component since this can significantly affect the system response. The algorithms are therefore applicable to a broad range of practical inputs, and their use and benefits are illustrated with several examples.     

ADAPTIVE ALGORITHM FOR CONSISTENTMA PARAMETER ESTIMATION VIATHIRD ORDER CUMULANT

This paper addresses the problem of adaptive,consistent parameter estimation for a MA model from the 3rd order cumulant of the system output. The proposed adaptive algorithm is derived by using the new linear equation system (J. K. Tugnait, 1990), which is proved to have unique solution,and hence guarantees the consistence of the MA parameters. Simulation results are provided to show the performance of the new algorithm.     

采用振动台阵的超大跨斜拉桥大比例全模型试验研究

强震作用下超大跨斜拉桥的结构响应与其结构体系密切相关,且受基础和场地土特性影响较大,然而目前为止,因试验条件和技术所限,尚缺乏相关的全桥模型振动台试验研究。以一座试设计的主跨1400m超大跨斜拉桥为原型,设计一座几何相似比为1/70、包括桩基础和场地土的全桥模型;采用振动台阵试验技术,研究El Centro波、人工波、Mexico City波等三种典型地震一致激励下不同结构体系的地震响应特性及影响机理,所研究的结构体系包括：纵向半漂浮体系、纵向弹性约束体系、以及本文作者提出的纵向辅助墩耗能体系和横向耗能体系;探讨不同纵向结构体系的抗震性能以及附加在上塔柱间的耗能构件对斜拉桥横向地震响应的控制效果。试验结果表明：土-结构相互作用对上部结构地震响应的影响不可忽视;主塔地震响应受高阶振型的影响明显;在PGA为0.4g以下的El Centro波和人工波、以及PGA为0.2g的Mexico City波作用下,结构响应仍处于弹性状态;纵向弹性约束体系和纵向辅助墩体耗能系可有效减小主塔位移和塔-梁间纵向相对位移响应,其中作者提出的纵向辅助墩耗能体系的抗震性能更好;附加耗能构件可有效降低主塔的弯矩应变响应,实现分散主塔受力和附加耗能作用,但对主塔加速度和位移响应的控制有限。     

由可见光谱视频中提取心率的对角累积量法

由于使用经典的联合近似特征对角化(JADE)算法从视频中估计光电容积脉搏波(Photoplethysmography,PPG)信号,再经快速傅里叶变换转化成的心率值与真实心率值的误差较大,本文提出使用基于对角累积量算法从视频中分离PPG信号,再经过快速傅里叶变换转换成心率的方法来提高心率测量的准确性。进行了从RGB彩色可见光视频信号中恢复心率值的实验。对比实验表明,基于对角累积量分离算法所得心率值与真实心率值差的绝对值的统计特征参数较JADE算法均有所降低,均值、标准差、均方根误差平均分别下降1.46,4.98和4.49。通过Bland-Altman图的分析表明,在95%的置信区间内,对角累积量算法所得心率的浮动范围较JADE算法减小了2倍以上,显示对角累积量算法具有更高的估计精度,对肤色亮度和外界自然光的要求更低,通过调整参数值,可使运行时间控制在1s之内,基本满足实时提取心率的要求。     

基于高阶循环累积量的载波频率估计

首先系统总结了高阶循环累积量估计载波频率的研究成果,从理论上推导出MASK、MPSK和MFSK信号的测频原理,并对平方降价法的性能进行了测试,指出了平方降阶法的局限性。然后以16QAM信号为例,从理论上证明此方法同样可以应用于MQAM的载波频率估计,并进行了仿真验证,从而扩展了此方法的适用范围。最后,进行了小结,指出测频方法存在的问题及解决方法。