DC/DC升压变换器自适应-PID串级控制系统仿真研究

为获得良好的电压控制性能,抑制模型非最小相位特性的影响,可使DC/DC升压变换器工作在电流控制模式下,采用串级结构的控制器,组成串级控制系统。系统的外环采用基于参数估计的自适应控制算法,以电容电压为被控量;内环则采用一种特殊的PID控制算法,以电感电流为被控量。此种自适应-PID串级控制器不但可使被控系统获得良好的动态特性,而且不需确知负载电阻、电容、电感、输入电压等参数的信息,对参数变化有着很强的鲁棒性。对DC/DC升压变换器的仿真结果表明,上述控制方案是可行的。     

Application of multi-resolution analysis in sonar image denoising

Sonar images have complex background, low contrast, and deteriorative edges; these characteristics make it difficult for researchers to dispose the sonar objects. The multi-resolution analysis represents the signals in different scales efficiently, which is widely used in image processing. Wavelets are successful in disposing point discontinuities in one dimension, but not in two dimensions. The finite Ridgelet transform （FRIT） deals efficiently with the singularity in high dimension. It presents three improved denoising approaches, which are based on FRIT and used in the sonar image disposal technique. By experiment and comparison with traditional methods, these approaches not only suppress the artifacts, but also obtain good effect in edge keeping and SNR of the sonar image denoising.     

三维H-自适应误差分析在焊接工程中的应用

提出了一个与有限元分析和自适应网格管理前后串联的误差分析方法，该方法可提供局部和系统的误差预测，并且与问题的属性无关，可用来计算许多标量如温度、位移、有效应力，应变等，重点研究此法在焊接的热分析中的应用，得到了有益的结论。     

用样条配点法求解反对称角铺设层合板响应的统计特性

工程结构中的复合材料层合板的几何参数往往具有随机性质.如何研究随机参数层合板响应 的统计特性,这对正确估计结构设计的可靠性有着非常重要的意义.用样条配点法,将复合材料层 合板结构离散后,应用Lagrange方程,建立了复合材料层合板的力学模型,研究了随机参数反对称 层合板响应的统计特性,推导出层合板位移、速度和加速度的标准差.在数值算例中,对于各种边界 条件,选择样条函数作为振型函数,用样条配点法求出了结构的位移响应量及统计特征值,并与 Newmark法进行了比较,验证了该方法的有效性.     

Self-configuring scheduling scheme for IPv6 traffic with multiple QoS classes

This paper proposes a new queuing model and adaptive scheduling scheme which realizes multi-class QoS mechanism under DiffServ architecture. The queuing model is composed of two parallel output subqueues, each output sub-queue adopts random drop algorithm by setting different buffer threshold for different class traffic, so it can provide multi-class QoS. The new proposed scheduling scheme which adaptively changes the parameter A can guarantee the performance target of high class traffic, in the mean time, improve the QoS of low classes traffic.     

基于分级变换的自适应立体对应算法

通过分级变换将图像从灰度空间转换到新的等级空间,然后构造相应的匹配代价函数计算两个图像点之间的最大相似度,从而找出对应点和偏移值。分级变换可以有效的解决在立体对应中经常遇到的图像噪声、失真及左右图像的亮度差异等问题。大多数的自适应立体对应算法是以偏移量和灰度值两个自变量来构造代价函数,而构造合适的代价函数是一个困难的问题。本文中提出自适应窗选择算法只与灰度值有关。首先通过边缘检测提取出灰度边缘信息。本算法仅根据灰度边缘信息就可以进行自适应窗的选择。自适应选择图像窗的过程与偏移值无关,从而降低了构造代价函数的难度。实验结果说明本算法能够生成准确度较高的深度图,是一种较好的局部立体对应算法。     

多因变量线性回归中的联合影响分析

本文讨论了多因变量线性回归中多组数据对回归分析的联合影响问题,给出了度量准则及其他简式与统计解释,推广了文献[1]中的相应结果。     

力前馈控制的并联机器人自适应系统的研究

针对６—ＤＯＦ并联机器人的液压主关节．设计了一种力前馈控制．结构简单．容易实现的模型参考自适应系统ＭＲＡＣＳ．仿真表明：此系统稳定可靠．有效地抑制了干扰作用．提高了系统的跟踪精度．本文的研究为系统的实际应用奠定了基础．     

多管法测定黏滞系数及k值的确定

用线性回归法求解多管法测黏滞系数实验的黏滞系数，并确定k值。     

Probability distributions,trading strategies and leverage: an application of Gaussian mixture models

The purpose of this paper is twofold. Firstly, to assess the merit of estimating probability density functions rather than level or classification estimations on a one‐day‐ahead forecasting task of the EUR/USD time series. This is implemented using a Gaussian mixture model neural network, benchmarking the results against standard forecasting models, namely a naïve model, a moving average convergence divergence technical model (MACD), an autoregressive moving average model (ARMA), a logistic regression model (LOGIT) and a multi‐layer perceptron network (MLP). Secondly, to examine the possibilities of improving the trading performance of those models with confirmation filters and leverage. While the benchmark models perform best without confirmation filters and leverage, the Gaussian mixture model outperforms all of the benchmarks when taking advantage of the possibilities offered by a combination of more sophisticated trading strategies and leverage. This might be due to the ability of the Gaussian mixture model to identify successfully trades with a high Sharpe ratio. Copyright © 2004 John Wiley & Sons, Ltd.