Nonregular feedback linearization: a nonsmooth approach

In this note, we address the problem of exact linearization via nonsmooth nonregular feedback. A criterion of nonregular static state feedback linearizability is presented for a class of nonlinear affine systems with two control inputs, and its application to nonholonomic systems is briefly discussed.     

激光技术推广应用中安全防护问题

论述加强激光安全防护工作的紧迫性,介绍我国激光安全工作的进展,提出下一步工作建议。     

超导／半导兼容材料的制作及性能分析

介绍了几种结构合理的超导／半导兼容材料的制作技术及其测试结果，重点讨论了超导体（ＹＢＣＯ）与半导体（Ｓｉ，ＣａＡｓ）间缓冲层的选取，并对这几种复合材料的性能作了较详细的分析。     

Pre-bainitic Transformation in Fe-Ni Alloy

Ｔｈｅｐｒｅ－ｂａｉｎｉｔｉｃｐｈｅｎｏｍｅｎｏｎｉｓｏｎｅｏｆｔｈｅｉｍ－ｐｏｒｔａｎｔｓｕｂｊｅｃｔｓｏｆｂａｉｎｉｔｉｃｔｒａｎｓｆｏｒｍａｔｉｏｎｗｈｉｃｈｉｓｓｔｉｌｃｏｎｔｒｏｖｅｒｓｉａｌ．Ｏｎｅｖｉｅｗｉｓｔｈａｔｔｈｅｓｏｌｕｔｅａ...     

全数字高清晰度电视中8—VSB传输系统

分析了全数字高清晰度电视（ＨＤＴＶ）中地面广播信道的干扰及抑制措施，给出了抑制同频干扰的梳状滤波器的设计方法和ＨＤＴＶ中８－ＶＳＢ基本原理及传输方案，并基于传信率１／Ｔ＝２３．５４８Ｍｂｐｓ的８－ＶＳＢ作了计算机模拟。     

网上购物系统数据库与数据仓库的比较分析

比较了数据库及数据仓库,通过网上购物系统平台的研究,分析了两者在数据信息处理中的异同,从而达到让网上购物更加完善、更加便捷地为用户服务的目的。     

一种基于特征点匹配的图像拼接方法研究

针对图像间因具有旋转及光线强度差异等现象而导致的拼接效果不佳及拼接速度慢的问题,提出一种基于特征点的配准算法;在特征点提取阶段,尺度不变的特征变换方法 (SIFT)具有对图像尺度缩放、旋转、放射变换以及亮度变化保持不变的优点,文章采用了改进的SIFT特征点提取算法;在特征点匹配阶段,采用改进的RANSAC算法对特征点匹配对提纯;最后用加权平均法实现拼接图像的融合;实验证明,该算法有效提高了图像拼接的效率和准确性,拼接精度可以达到亚像素级。     

基于TimeMark技术的网络级数据容灾设计与实施

建立存储虚拟化的网络级容灾系统,要注意数据的不一致或不完整的问题,因为由此可能导致系统无法启动或恢复。利用TimeMark技术建立容灾系统,存储设备可以为数据副本生成多个快照,记录数据副本在不同时刻的状态,可以有效地避免渐变式灾难带来的数据损坏,从而保障数据一致性和可用性。     

Dynamics and genetic fuzzy neural network vibration control design of a smart flexible four-bar linkage mechanism

In this paper, a dynamic modeling method and an active vibration control scheme for a smart flexible four-bar linkage mechanism featuring piezoelectric actuators and strain gauge sensors are presented. The dynamics of this smart mechanism is described by the Discrete Time Transfer Matrix Method of Multibody System (MS-DTTMM). Then a nonlinear fuzzy neural network control is employed to suppress the vibration of this smart mechanism. For improving the dynamic performance of the fuzzy neural network, a genetic algorithm based on the MS-DTTMM is designed offline to tune the initial parameters of the fuzzy neural network. The MS-DTTMM avoids the global dynamics equations of the system, which results in the matrices involved are always very small, so the computational efficiency of the dynamic analysis and control system optimization can be greatly improved. Formulations of the method as well as a numerical simulation are given to demonstrate the proposed dynamic method and control scheme.