谐波和间谐波参数估计的新方法

为解决谐波和间谐波参数估计受噪声影响的难题,从被检测信号噪声的基本特性出发,提出了一种基于现代互谱、总体最小二乘、旋转不变参数估计和改进普罗尼技术的谐波和间谐波参数估计新方法.该方法采用互谱技术处理不同采样序列的互相关矩阵;根据不同时刻白噪声相互独立的原理划分信号子空间和噪声子空间,并结合总体最小二乘与旋转不变参数估计判定被检测信号的频率;最后,根据白噪声均值为0的特性,采用改进普罗尼技术估计信号分量的幅值和初始相角.仿真结果表明,该方法在低信噪比环境下可检测出多个子信号,且频率的相对误差均小于0.4%,而耗时仅0.058 s,具有良好的估计精度和估计效率.     

材料试验机系统负载变化补偿设计

根据电液伺服系统的结构不变性原理,针对非线性电液位置伺服系统的跟踪控制问题,提出并寻找一个可观测量与设计一个补偿器,消除负载及外干扰的影响,使系统始终保持在最佳设计状态。可以证明本系统的这种观测量是伺服阀的负载压力,而所谓补偿器是一个一阶微分环节,因而容易实现。     

荧光反光膜的色度测定分析

根据物体色测试原理和荧光反光膜的光谱特性,分析荧光反光膜色度测试中存在的问题,提出在标准光源A照射下测试荧光反光膜色度性能的方法,对于推动道路交通安全的发展具有一定的作用。     

改进的光照不变道路检测算法

针对大多数道路检测方法存在光照变化敏感,阴影导致误检、漏检等问题,提出了一种改进的光照不变道路检测算法.首先将道路图像RGB空间转换为几何均值对数色度空间;然后根据Shannon熵确定相机轴标定角θ,利用Chebyshev理论去除θ奇异值,得到光照无关图Iθ;其次通过随机抽样方法提取道路样本点,包括道路基准样本点和道路参考样本点;最后建立道路置信区间分类器,将道路从背景中分离出来.实验结果表明,该算法能很好地消除光照变化和阴影对道路检测的影响,检测精度高,能满足实际道路检测实时性要求.     

洪量随历时变化的标度性质研究

以长江流域3个水文站的洪水资料为例，应用标度理论，对洪量随历时变化的标度特性进行了研究。研究结果表明：在一定的历时范围内，年最大洪量随历时变化具有单标度性质。由洪量随历时变化的单标度性质，建立了洪水强度历时公式，可直接求出不同历时的年最大洪量值，与常规方法计算结果相比，二者十分接近。     

Coordinated cruise control for high-speed train movements based on a multi-agent model

This paper investigates the coordinated cruise control strategy for multiple high-speed trains’ movement. The motion of an ordered set of high-speed trains running on a railway line is modeled by a multi-agent system, in which each train communicates with its neighboring trains to adjust its speed. By using the potential fields and LaSalles invariance principle, we design a new coordinated cruise control strategy for each train based on the neighboring trains’ information, under which each train can track the desired speed, and the headway distances between any two neighboring trains are stabilized in a safety range. Numerical examples are given to illustrate the effectiveness of the proposed methods.     

Unsupervised color-texture image segmentation

The measure J in J value segmentation （JSEG） fails to represent the discontinuity of color, which degrades the robustness and discrimination of JSEG. An improved approach for JSEG algorithm was proposed for unsupervised color-texture image segmentation. The texture and photometric invariant edge information were combined, which results in a discriminative measure for color-texture homogeneity. Based on the image whose pixel values are values of the new measure, region growing-merging algorithm used in JSEG was then employed to segment the image. Finally, experiments on a variety of real color images demonstrate performance improvement due to the proposed method.