汽车车身控制器BCM程序

基于多线程的实现矩阵相乘的openmp程序，采用cannon算法，采用共享任务结构的sections(功能并行性)。

cadence16.5 pspice教程全集，很详细的pspice教程，说的很详细，通俗易懂，推荐下载。cadenceCHANNEL PARTNER、 Cadence/ OrCAD拥有一批学识渊博的技术攴持人员,他们注重与工程师在工作上密切配合,尽可能提高其软件的生产效率。5、 PSpice16.5版本具有自动收敛的功能,自动调整仿真参数帮助电路收敛。6、支持多个 slPs block,实现 Matlab与 Pspice电路仿真的无缝结合7、 PSpice是当今占主导地位的,基于 SPICE的仿真器。三、 PSpice的工作流程图绘制原理图「选择分析方或修L设置仿真参数」元改件电运行仿真数结你果是香符合Y仿真结束四、 PSpice a/D基木的分析内容在选择分析方法前需要绘制电路原理图, OrcaD统一由 Capture窗口进行输入和调用 PSpice分析。在使用时绘制原理图应该注意的地方。新建时应选择调用的器件必须有模型首先,调用软件本身提供的模型库,这些库文件存储的路径为,此路径中的所有器件都有提供模型,可以直接调用。其次,若使用自己的器件,必须保证两个文件同时存在,而且器件属性中必须包含属性。原理图中至少必须有一条网络名称为,即接地。必须有激励源原理图中的端口符号并不具有电源特性,所有的激励源都存储在和库中上海市长宁区延安西路号华敏、翰尊时代广场层座邮箱cadenceCHANNEL PARTNER电源两端不允许短路,不允许仅由电源和电感组成回路,也不允许仅由电溟和电容组成的割集。解决方法:电容并联一个大电阻,电感串联一个小电阻6、好不要使用负值电阻、电容和电感,因为他们容易引起不收接下来具体介绍几种基本的分析方法和参数的设置。直流分析(直流分析指是使电路某个元器件参数作为自变量在一定范围内变化,对自变量的每个取值,计算电路的输出变量的自流偏特性。此过程中还可以指定一个参变量并确定取值范围,每设定一个参变量的值,均计算输出变量随自变量的变化特性。直流分析也是交流分析时确定小信号线性模型参数和瞬态分析确定初始值所需的分析。模拟计算后,可以利川功能绘出曲线,或任意输出变量相对任元件参数的传输特性曲线首先我们开启,打丌如图所示的界OrCAD CaptureFile Y1ew Tools Edit Lptions Windon Help〔 agenceSPARAMSCHEMATICI-bias量量量国量口口园国4D: FSPICE材料2011 EM\BANDPASS.IS图1-1 Capturer界面上海市长宁区延安西路号华敏、翰尊时代广场层座邮箱cadenceCHANNEL PARTNER接下来使用菜单:启动建立一个新的工程,如图所示PCtrltsSave AsHIL FileVerilog File图新建工程界面在图对话框中输入文件名,如“”。在下面的单选按钮中选择“”,要注意这是由直接调用的按钮,不要选错哦。那么其它的选项是仆么意思呢?数模混合仿真系统级原理图设计或设计原理图设计最后在“”中指点文件存放的文件夹后,单击,出现图界面。Rev ProiectCreate a New Project UsingHelHelp⊙ Analog or Mixed A/DTip for New Users○PAnalog orMixed A /D project. Thenew project may be b alm O Piog ammable Logic wizardor copied from an existing○ SchemLuLaliuriDBrOWS图1-3建立新电路图对话框Create pspice Prone基于已有的设计创建文件○ CReate baxIsting proerOKBuck ConverterBIOCancelCreate a上 ank project厂Hahn创建空白设计图1-4创建 PSpice文件对话框上海市长宁区延安西路号华敏、翰尊时代广场层座邮箱cadenceCHANNEL PARTNER在“ Create based upon an existing project”下可以看到许多已有的工程和电路图。我们选择“ Create a blank project”,进入到仿真电路图绘制窗凵,并开始绘制电路图。如图1-5所示。i OrCAD Capture L/=(SCHEIATICI: PAGE1)□-回回 File: Edit View Tools Place Macro0 PSpice Accessories ption3置idoy正elpcadences间器回博期②0回角6@101PGE1仿真工具栏图4罕LxF121:31:14:516::1:11101110图1-5仿真电路图输入窗口接下来,我们先要学会选择器件:选择绘图工具栏中的点击后图1-5窗口出现放置元件的窗凵如图1-6所示。注意选择的器件库必须存储在路径为卜,此路径中的所有器件都有提供模型,可以直接调用。活着如果是使用自己的器件,必须保证两个文件同时存在,而且器件属性中必须包含属性,即在图对话框中选中的器件需要有燃的标i(对丁新建器件,后续有专门教程讲解)上海市长宁区延安西路号华敏、翰尊时代广场层座邮箱cadenceCHANNEL PARTNERPlace partRPart lis上:QPND-4153/55C/DIODEUPND-41535/DIODEQPND-4153/27C/DIODEQSCH-55457-55C/DIODE05CH55125心D0DE添加元件库4527CDJoDEBTEST/TESR/ANALOG,--LibrariesxNAL口Desian CacheDIODEOPAMPSOURCEPackagingParts per PkgR?Part^∧Type: Homogeneous1k⊙Nrml+」 Search for fa图1-6放置元件的窗口如图1-6,我们选择输入“R”,找到在 analog.lib下的电阻器件,双击它就可以放置到绘图窗口屮了。接下来我们门作个简单例子来了解一下仿真的工程。当然这甲先进行的是自流扫描分析( DC Sweep)在图1-5的原理图绘制窗凵中输入如图1-7所示的电路。W图1-7原理电路图上图所用到的器件信息器件模型模型库电源VDC/ souce电阻R/ analog稳压管DI1N5225/ diode上海市长宁区延安西路号华敏、翰尊时代广场层座邮箱cadenceCHANNEL PARTNER地0注意一点:地的选择不是在 Place part,而是在 Place ground中选择名称为0的0电路图画好后存盘,然后就要开始设置仿真参数开始进行仿真了。首先,新建个仿真文件,启动 PSpice/ New simulation命令,或者自接点击仿真工具栏中按钮,得到图1-8所示对话框。在Name中输入仿真文件名,如:DC,点击“ Create”后,在原来工程文件夹中就会自动生成一个名为“DC”的文件夹,后面所作的仿真结果和工程均保存在该文件夹下,方便于管理。HeS量 uLationXNalCreateDccelInherit fromroFERoot Schematic SCHEMATIC1图1-8仿真参数设置对话框完成图1-8后,会弹出图1-9所示的仿真参数设置窗凵。我们先从 Analysis中开始看起互 ilLation setFiles0ptectorY⊙ voltageModel typ○Guba○ ModelMonte Carlo/ W orst Cs OIermParameter namePTP〕- Sweep type□L。 d bias PEndvalue: 10O Logar ta mIc DecadeincrementOvale Ist确定□取捎应用)匚帮图1-9仿真参数设置窗口在 Analysis type(分析类型)屮我们选取 DC Sweep上海市长宁区延安西路号华敏、翰尊时代广场层座邮箱cadenceCHANNEL PARTNER在 Option中,我们选取 Primary Sweep在 Sweep variable中可以看到如下几个选项Voltage Source电压源信息Current source电流源信息Global parameter全局参数Model parameter模型参数Temperature温度设置在 Sweep type中,我们可以设置为 Linear(线性); logarithmic(对数), valueline(设置点)。这里我们对电压源Ⅵ1进行设置,扫描值为-6V到10V,每次递增1V设置好后,点击确定。然后点击仿真工具栏屮的◎,运行仿真。接着就调出了 PSpice的界面,如图1-10所示。sCHELATICI-DC- PSpice ND [nC. dat (active)Iatis tait Yim amative Ia twt Trl. Iiam May cadence -oxSoHEMATIC1DC输出仿真结果区回基公回在这里,按照用户的要求可以产生各式各样的输出波形波形显示窗口或输出文件Poi"SCHEMATIC1DC[D pepooMFA仿高状态窗口,负资Reyong and cheekngeeutGreul reyn a checked no文字窗输出窗,负武显示显示本仿真执行内容本你真操作具的着的信惠2I1r010n户与执行后的信息图1-10 PSpice执行模拟窗口PSpice界面中最主要的工具栏含义如图1-11所示。对X轴坐标在对数或线性变‖对波形进行傅添加性能分析波化之间互相转换立叶变换形显示窗口QQ6amm回X查找波形上的点对Ⅴ轴坐标在对数或线计算全局性变化之间互相转换忝加波形显示出波函数值形让笪占图1-11 PSpice基木工具栏的含义选择菜单栏 Trace/ Add trace,或者点击图标,得到图1-12对话框,在这里我们可以看到有两个标签 Simulation output variables与 Functions and macros“ Simulation Output variables”中包含许多的变量,“ Functions and macros”上海市长宁区延安西路号华敏、翰尊时代广场层座邮箱cadenceCHANNEL PARTNERkdd TraceSimulation Output variable仿真输出变量Functions or macrosAnalog Operators and FunctioID11I[D1: A)回点F1:1[y1凶 voltages1:+[D1: Alv CurrerIVIDI: KIN0120输出变量的列表回 Pawer8数学运算ATANITN0127函数□NHalAVGAVGXO∨R12cs(〕v1:回 Alias namesD[〕Subcircuit NodesDB(〕41[D1ENMA风RENVMIN I11EXF〔/2D过滤显示V2(R节点M21GGG[D125 variables listedR110‖A10〔1F时输入欲观看节点的波形[OK[Cancel[ Help图1-12加入波形对话框中冇需要测量的信息函薮。在操作的过程中,比如要看最大的的值的吋候,先选择Max0函数,再选择变量的类型V1⑩D1)。我们就可以在 Trace Expression中看到表达式:MAX(Ⅵl(D1)。这是一个最为基本的步骤。若选择输出V2(D1),得到图1-13的波形。通过波形可以自己分析是否满足设计要求图1-12输出波形随输入信号的变化曲线交流分析(上海市长宁区延安西路号华敏、翰尊时代广场层座邮箱

数字集成电路（设计透视），国外经典教材，对于了解集成电路从工艺到前、后端整个设计流程很有帮助。

用VHDL编写的 正弦波DDS线调频信号发生器(FPGA）。其中，rom为1/4周期波形，波形起始、终止频率在K_con.vhd模块中的f1、f2常数。步进不仅频率控制字在判断clk上升沿下一行所加的数值。本程序通过QuartusII 9.0调试通过

阶比仿真，matlab版，调试好的，绝对管用。

已配准国界、省界、市界、县界shp，时间在2010年左右，2012年地级市point，地级市属性字段中包含2012年GDP及常住人口

基于块稀疏信号的重构算法。稀疏贝叶斯学习算法。

MATLAB在卡尔曼滤波器中应用的理论与实践KalmanKALMAN FILTERINGTheory and Practice Using MATLABThird editionMOHINDER S GREWALCalifornia State University at FullertonANGUS P. ANDREWSRockwell Science Center (retired)WILEYA JOHN WILEY & SONS, INC. PUBLICATIONCopyright 2008 by John Wiley sons, Inc. All rights reservedPublished by John Wiley sons, InC, Hoboken, New JerseyPublished simultaneously in CanadaNo part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or byany means, electronic, mechanical, photocopying, recording, scanning, or otherwise, except as permittedunder Section 107 or 108 of the 1976 United States Copyright Act, without either the prior writtenpermission of the Publisher, or authorization through payment of the appropriate per-copy fee to theCopyright Clearance Center, Inc, 222 Rosewood Drive, Danvers, MA 01923,(978)750-8400, fax(978)750-4470,oronthewebatwww.copyright.com.RequeststothePublisherforpermissionshouldbe addressed to the Permissions Department, John Wiley Sons, Inc, lll River Street, Hoboken, NJ07030,(201)748-6011,fax(201)748-6008,oronlineathttp://www.wiley.com/go/permissionimit of liability Disclaimer of Warranty: While the publisher and author have used their best efforts inpreparing this book, they make no representations or warranties with respect to the accuracy or completeness of the contents of this book and specifically disclaim any implied warranties of merchantability orfitness for a particular purpose. No warranty may be created or extended by sales representatives orwritten sales materials. The advice and strategies contained herein may not be suitable for your situationYou should consult with a professional where appropriate. Neither the publisher nor author shall be liablefor any loss of profit or any other commercial damages, including but not limited to special, incidentalconsequential, or other damagesFor general information on our other products and services or for technical support, please contact ourCustomer Care Department within the United States at(800)762-2974, outside the United States at(317)572-3993 or fax(317)572-4002Wiley also publishes its books in a variety of electronic formats. Some content that appears in print maynot be available in electronic format. For more information about wiley products, visit our web site atwww.wiley.comLibrary of Congress Cataloging- in-Publication DataGrewal. Mohinder sKalman filtering: theory and practice using MATLAB/Mohinder S. GrewalAngus p. andrews. 3rd edIncludes bibliographical references and indexISBN978-0-470-17366-4( cloth)1. Kalman filtering. 2. MATLAB. I. Andrews, Angus P. II. TitleQA402.3.G69520086298312—dc22200803733Printed in the United States of america10987654321CONTENTSPrefaceAcknowledgmentsXIIIList of abbreviationsXV1 General Information1.1 On Kalman Filtering1.2 On Optimal Estimation Methods, 51. 3 On the notation Used In This book 231. 4 Summary, 25Problems. 262 Linear Dvnamic Systems2. 1 Chapter focus, 312.2 Dynamic System Models, 362. 3 Continuous Linear Systems and Their Solutions, 402.4 Discrete Linear Systems and Their Solutions, 532.5 Observability of Linear Dynamic System Models, 552.6 Summary, 61Problems. 643 Random Processes and Stochastic Systems3.1 Chapter Focus, 673.2 Probability and random Variables (rvs), 703.3 Statistical Properties of RVS, 78CONTEN3.4 Statistical Properties of Random Processes(RPs),803.5 Linear rp models. 883.6 Shaping Filters and State Augmentation, 953.7 Mean and Covariance propagation, 993.8 Relationships between Model Parameters, 1053.9 Orthogonality principle 1143.10 Summary, 118Problems. 1214 Linear Optimal Filters and Predictors1314.1 Chapter Focus, 1314.2 Kalman Filter. 1334.3 Kalman-Bucy filter, 1444.4 Optimal Linear Predictors, 1464.5 Correlated noise Sources 1474.6 Relationships between Kalman-Bucy and wiener Filters, 1484.7 Quadratic Loss Functions, 1494.8 Matrix Riccati Differential Equation. 1514.9 Matrix Riccati Equation In Discrete Time, 1654.10 Model equations for Transformed State Variables, 1704.11 Application of Kalman Filters, 1724.12 Summary, 177Problems. 1795 Optimal Smoothers5.1 Chapter Focus, 1835.2 Fixed-Interval Smoothing, 1895.3 Fixed-Lag Smoothing, 2005.4 Fixed-Point Smoothing, 2135.5 Summary, 220Problems. 226 Implementation Methods2256. 1 Chapter Focus, 2256.2 Computer Roundoff, 2276.3 Effects of roundoff errors on Kalman filters 2326.4 Factorization Methods for Square-Root Filtering, 2386. 5 Square-Root and UD Filters, 2616.6 Other Implementation Methods, 2756.7 Summary, 288Problems. 2897 Nonlinear Filtering2937.1 Chapter Focus, 2937.2 Quasilinear Filtering, 296CONTENTS7.3 Sampling Methods for Nonlinear Filtering, 3307.4 Summary, 345Problems. 3508 Practical Considerations3558.1 Chapter Focus. 3558.2 Detecting and Correcting Anomalous behavior, 3568.3 Prefiltering and Data Rejection Methods, 3798.4 Stability of Kalman Filters, 3828. 5 Suboptimal and reduced- Order Filters, 3838.6 Schmidt-Kalman Filtering, 3938.7 Memory, Throughput, and wordlength Requirements, 4038.8 Ways to Reduce Computational requirements 4098.9 Error Budgets and Sensitivity Analysis, 4148.10 Optimizing Measurement Selection Policies, 4198.11 Innovations analysis, 4248.12 Summary, 425Problems. 4269 Applications to Navigation4279.1 Chapter focus, 4279.2 Host vehicle dynamics, 4319.3 Inertial Navigation Systems(INS), 4359. 4 Global Navigation Satellite Systems(GNSS), 4659.5 Kalman Filters for GNSS. 4709.6 Loosely Coupled GNSS/INS Integration, 4889.7 Tightly Coupled GNSS /INS Integration, 4919. 8 Summary, 507Problems. 508Appendix A MATLAB Software511A 1 Notice. 511A 2 General System Requirements, 511A 3 CD Directory Structure, 512A 4 MATLAB Software for Chapter 2, 512A. 5 MATLAB Software for Chapter 3, 512A6 MATLAB Software for Chapter 4, 512A. 7 MATLAB Software for Chapter 5, 513A 8 MATLAB Software for Chapter 6, 513A 9 MATLAB Software for Chapter 7, 514A10 MATLAB Software for Chapter 8, 515A 11 MATLAB Software for Chapter 9, 515A 12 Other Sources of software 516CONTENAppendix b A Matrix Refresher519B. 1 Matrix Forms. 519B 2 Matrix Operations, 523B 3 Block matrix Formulas. 527B 4 Functions of Square Matrices, 531B 5 Norms. 538B6 Cholesky decomposition, 541B7 Orthogonal Decompositions of Matrices, 543B 8 Quadratic Forms, 545B 9 Derivatives of matrices. 546Bibliography549Index565PREFACEThis book is designed to provide familiarity with both the theoretical and practicalaspects of Kalman filtering by including real-world problems in practice as illustrativeexamples. The material includes the essential technical background for Kalman filter-ing and the more practical aspects of implementation: how to represent the problem ina mathematical model, analyze the performance of the estimator as a function ofsystem design parameters, implement the mechanization equations in numericallystable algorithms, assess its computational requirements, test the validity of resultsitor the filteThetant attributes ofthe subject that are often overlooked in theoretical treatments but are necessary forapplication of the theory to real-world problemsIn this third edition, we have included important developments in the implemen-tation and application of Kalman filtering over the past several years, including adaptations for nonlinear filtering, more robust smoothing methods, and develelopingapplications in navigationWe have also incorporated many helpful corrections and suggefrom ourreaders, reviewers, colleagues, and students over the past several years for theoverall improvement of the textbookAll software has been provided in MatLab so that users can take advantage ofits excellent graphing capabilities and a programming interface that is very close tothe mathematical equations used for defining Kalman filtering and its applicationsSee Appendix a for more information on MATLAB softwareThe inclusion of the software is practically a matter of necessity because Kalmanfiltering would not be very useful without computers to implement it. It provides aMATLAB is a registered trademark of The Mathworks, IncEFACEbetter learning experience for the student to discover how the Kalman filter works byobserving it in actionThe implementation of Kalman filtering on computers also illuminates some of thepractical considerations of finite-wordlength arithmetic and the need for alternativealgorithms to preserve the accuracy of the results. If the student wishes to applywhat she or he learns, then it is essential that she or he experience its workingsand failings--and learn to recognize the differenceThe book is organized as a text for an introductory course in stochastic processes atthe senior level and as a first-year graduate-level course in Kalman filtering theory andapplicationIt can also be used for self-instruction or for purposes of review by practi-cing engineers and scientists who are not intimately familiar with the subject. Theorganization of the material is illustrated by the following chapter-level dependencygraph, which shows how the subject of each chapter depends upon material in otherchapters. The arrows in the figure indicate the recommended order of study. Boxesabove another box and connected by arrows indicate that the material represented bythe upper boxes is background material for the subject in the lower boxAPPENDIX B: A MATRIX REFRESHERGENERAL INFORMATION2. LINEAR DYNAMIC SYSTEMSRANDOM PROCESSES AND STOCHASTIC SYSTEMS4. OPTIMAL LINEAR FILTERS AND PREDICTORS5. OPTIMAL SMOOTHERS6. IMPLEMENTATIONMETHODS7. NONLINEAR8. PRACTICAL9. APPLICATIONSFILTERINGCONSIDERATIONSTO NAVIGATIONAPPENDIX A: MATLAB SOFTWAREChapter l provides an informal introduction to the general subject matter by wayof its history of development and application. Chapters 2 and 3 and Appendix b coverthe essential background material on linear systems, probability, stochastic processesand modeling. These chapters could be covered in a senior-level course in electricalcomputer, and systems engineeringChapter 4 covers linear optimal filters and predictors, with detailed examples ofapplications. Chapter 5 is a new tutorial-level treatment of optimal smoothing

MFC 编程获取 IP地址 网关 MAC地址等信息

遗传算法MATLB程序，里面有遗传算法的选择、交叉、变异函数，一些简单的MABTLAB遗传算法例子