Controller certification

A modern problem from aerospace control involves the certification of a large set of potential controllers with either a single plant or a fleet of potential plant systems, with both plants and controllers being MIMO and, for the moment, linear. Experiments on a limited number of controller/plant pairs should establish the stability and a certain level of margin of the complete set. We consider this certification problem for a set of controllers and provide algorithms for selecting an efficient subset for testing. This is done for a finite set of candidate controllers and, at least for SISO plants, for compact infinite set. In doing this, the ν-gap metric will be the main tool. Computational examples are given, including one of certification of an aircraft engine controller. The overarching aim is to introduce truly MIMO margin calculations and to understand their efficacy in certifying stability over a set of controllers and in replacing legacy single-loop gain and phase margin calculations.     

PLC控制系统在中央空调上的应用介绍

本文简要介绍了PLC控制系统在地源热泵中央空调机组上的应用,控制系统的硬件组成及部分软件组成等。     

基于开源软件构建OPAC检索机的研究与实现

针对目前公共联机书目查询系统（OPAC）中检索机缺少专用的系统运行环境,本文提出一种有效的利用开源软件原理构建OPAC检索机的解决方案。本方法与传统的基于WINDOWS的OPAC检索机解决方案有本质的区别,主要是通过采用完全免费、标准开放的开源软件构建的,不仅减少了系统的投入,而且具有高效、稳定、安全、易维护等特点。     

A COMPLEX-TYPE FOCUSSED MAGNETRON FOR SPUTTERING

ＡＣＯＭＰＬＥＸ－ＴＹＰＥＦＯＣＵＳＳＥＤＭＡＧＮＥＴＲＯＮＦＯＲＳＰＵＴＴＥＲＩＮＧ￥ＺｈｅｎｇＳｉｘｉａｏ（郑思孝）（ＩｎｓｔｉｔｕｔｅｏｆＮｕｃｌｅａｒＳｃｉｅｎｃｅａｎｄＴｅｃｈｎｏｌｏｇｙ,ＳｉｃｈｕａｎＵｎｉｖｅｒｓｉｔｙ,Ｃｈｅｎｇｄｕ...     

低密度脑电自适应去噪方法

便携式和可穿戴设备的低密度脑电图更便于实际使用,但会受到多种不可预知的噪声影响,给去噪带来极大的困难。脑活动成分较为相似,在特征空间分布较为紧密,而噪声成分与脑电成分不同,差异性大,在特征空间分布较为分散。本文提出了一种低密度脑电自适应去噪方法,采用小波分解和盲源分离方法提取潜在成分,并基于脑电和噪声成分在特征空间的分布特性,采用单类支持向量机识别并去除远离成分分布中心的异常成分。仿真数据的定量分析结果表明,提出的方法在肌电、眼电和工频等噪声抑制方面均优于现有方法;通过对真实脑电数据的成分簇可视化分析,直观展示了低密度脑电噪声有效去除的原因。结合盲源分离和异常检测的思路进行低密度脑电去噪,不需要设定特定噪声相关的特征参数,能够自适应地去除多种类型噪声同时有效保留脑活动成分,具有优良的性能和实用性。     

混响噪声下声源定位与跟踪的多特征自适应IMM粒子滤波算法EI北大核心CSCD

针对混响噪声下声源定位精度低和鲁棒性弱等问题,提出了多特征自适应IMM粒子滤波算法.该算法以麦克风接收信号的多特征作为观测信息,采用空时相关和迭代滤波建立了时延选择机制和波束输出能量优化机制,并在两者的基础上构建了似然函数以获得合理的声源位置信息.考虑到说话人运动的随机性,给出了自适应IMM算法,通过在线粒子集生成并将不同过程方差的模型进行交互来拟合说话人的不同运动模式,改善了说话人跟踪系统的稳健性.仿真和实测结果表明,所提算法利用了多特征定位信息的互补性,降低了观测误差不确定性对声源位置估计的影响,增强了随机运动声源跟踪系统的鲁棒性,提高了系统的定位精度.     

基于PXI接口多通道信源卡设计

多通道信号源是多路采集系统自检与测试系统的重要组成部分,为提高信号源的通用性,可靠性,可扩展性及小型化,结合PXI总线技术,设计出多通道信源卡;详细介绍了波形再生硬件模块,外部SRAM存储波形模块及满足设计要求边沿时间短的矩形波的软硬件设计,同时使用VHDL语言编写了数据通信协议模块,实现FPGA与计算机之间的正常通信。     

Simulating BPP using a general weak random source

We show how to simulate BPP and approximation algorithms in polynomial time using the output from a -source. A -source is a weak random source that is asked only once forR bits, and must output anR-bit string according to some distribution that places probability no more than 2^–R on any particular string. We also give an application to the unapproximability of MAX CLIQUE.This paper appeared in preliminary form in theProceedings of the 32nd Annual Symposium on Foundations of Computer Science, 1991, pp. 79–89. Most of this research was done while the author was at U.C. Berkeley, and supported by an AT&T Graduate Fellowship, NSF PYI Grant No. CCR-8896202, and NSF Grant No. IRI-8902813. Part of this research was done while the author was at MIT, supported by an NSF Postdoctoral Fellowship, NSF Grant No. 92-12184 CCR, and DARPA Grant No. N00014-92-J-1799. Part of this research was done at UT Austin, where the author was supported by NSF NYI Grant No. CCR-9457799.     

煤矿电气安全关键技术研究

分析了2005—2009年全国重特大瓦斯爆炸事故的火源,得出了由电气火源引爆瓦斯事故最多且达48.1%的结论,并分析了矿用电气设备的安全性能,提出了矿用电气设备的使用场所及安全要求:(1)煤矿监控、通信、控制、信号等弱电系统和设备应优选本质安全型电气设备,设备之间传输的信号必须是本质安全型信号;(2)大功率电气设备应优选隔爆型电气设备,隔爆型电气设备宜将接线腔与主腔分腔布置;(3)当瓦斯浓度达到爆炸浓度时严禁开关特殊型矿灯;(4)低瓦斯矿井井底车场等非爆炸性环境宜选用矿用防爆型电气设备;(5)煤与瓦斯突出矿井严禁使用架线电机车和矿用一般型电气设备;(6)井下电气设备的欠压保护和失压保护应有延时措施,减少局部通风机停电次数;(7)井下排水设备宜选用大功率潜水泵;(8)开关等电气设备应设置在全风压进风处,若不能满足,必须设置甲烷传感器,并具备甲烷超限断电闭锁功能。文章对提高煤矿电气安全性、避免或减少瓦斯爆炸和淹井等事故发生具有指导作用。