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详细介绍了状态观测器及其在控制系统中的应用。Observers inControl SystemsA Practical guideGeorge ellisDanaher corporation4ACADEMIC PRESSAn imprint of elsevier ScienceAmsterdam Boston London New York Oxford ParisSan Diego San Francisco Singapore Sydney TokyoThis book is printed on acid-free paper ooCopyright 2002, Elsevier Science (USA)All rightsNo part of this publication may be reproduced or transmitted in any form or by anymeans, electronic or mechanical, including photocopy, recording, or any informationstorage and retrieval system, without permission in writing from the publisher. Requestsfor permission to make copies of any part of the work should be mailed to thefollowing address: Permissions Department, Harcourt, Inc, 6277 Sea Harbor DriveOrlando. Florida. 32887-6777.ACADEMIC PRESSAn imprint of Elsevier Science525 B Street, Suite 1900, San Diego, CA 92101-4495, USAhttp://www.academicpress.comAcademic pr84 Theobalds Road. London WCIX 8RR. UKhttp://www.academicpress.comLibrary of congress control Number: 2002104256International Standard book Number: 0-12-237472-XPrinted in the United States of america020304050607MB987654321TO Lee Ann, my loving wife, and our daughter Gretchen, who makes us both proud.Observers in Control Systems■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■Acknowledgments■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■Safety■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■1 Control Systems and the role of observers■■■■■■■■■■■■■■■■1.1 Overviewaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa1.2 Preview of observers21.3 Summary of the book2 Control-System Background52.1 Control-System Structures52.2 Goals of control systems132.3 Visual Model Simulation Environment2. 4 Software Experiments: Introduction to Visual ModelQ182.5 Exercises393 Review of the Frequency Domain.■■■■■■■■■■■■■■■■■■■■■■■■■■■■■3. 1 Overview of the s-domain413.2 Overview of the z-Domain543.3 The Open-Loop Method593.4 A Zone-Based Tuning Procedure623.5 Exercises664 The Luenberger observer: Correcting SensorProblems674. 1 What Is a luenberger observer?674.2 Experiments 4A-4C: Enhancing Stability with an Observer724.3 Predictor-Corrector Form of the Luenberger Observer774. 4 Filter Form of the luenberger observer. ..................................784.5 Designing a Luenberger observer824.6 Introduction to Tuning an observer compensator9047 Exercises955 The Luenberger Observer and Model Inaccuracy... 975.1 Model Inaccuracy.........….……,975.2 Effects of Model Inaccuracy .............................................1005.3 Experimental Evaluation1025.4 Exercises1146 The Luenberger observer and disturbances1156.1 Disturbances1156.2 Disturbance Response1236.3 Disturbance DecouplingIB..-.81296.4 Exercises1387 Noise in the Luenberger Observer…,,,…,,…,…,1417.1 Noise in Control Systems1417.2 Sensor noise and the luenberger observer1457.3 Noise Sensitivity when Using Disturbance Decoupling1567. 4 Reducing Noise Susceptibility in Observer-Based Systems1617.5 Exercises1708 Using the Luenberger Observer in Motion Control1738.1 The Luenberger observers in motion Systems1738.2 Observing Velocity to Reduce Phase Lag1858.3 Using observers to Improve Disturbance Response..... 2028.4 Exercises212Referencesn213A Observer-Based resolver conversion in industrialServo Systems1■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■217B Cures for mechanical resonance in IndustrialServo Systems227Introductionaaa日aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa日aaaaa.aaaaaaaaaaaaaaa日aa227TWo-Part Transfer function228LOW-Frequency Resonance229Velocity Control Law…...8....230Methods of Correction Applied to Low-Frequency Resonance231Conc| usion.…235Acknowledgments235References235C European Symbols for Block Diagrams237Part Linear functions237Part l: nonlinear functions238D Development of the bilinear transformation241Bilinear Transformation241Prewarning242Factoring polynomials243Phase Advancing………………………,243Solutions toChapter 2245Chapter 3245Chapter 4246Chapter 5重口m口m246Chapter 6247Chapter7.….B..8..8..8...248Chapter 8249Index251AcknowledgmentsWriting a book is a large task and requires support from numerous people, and thosepeople deserve thanks. First, I thank LeeAnn, my devoted wife of more than 20 yearsShe has been an unflagging fan, a counselor, and a demanding editor. She taught memuch of what I have managed to learn about how to express a thought in ink. Thanksto my mother who was sure I would grow into someone in whom she would be proudwhen facts should have dissuaded her Thanks also to my father for his insistence thatI obtain a college education; that privilege was denied to him, an intelligent man borninto a family of modest meansI am grateful for the education provided by Virginia Tech Go Hokies. The basicsof electrical engineering imparted to me over my years at school allowed me to graspthe concepts I apply regularly today. I am grateful to Mr. Emory Pace, a toughprofessor who led me through numerous calculus courses and, in doing so, gaveme the confidence on which I would rely throughout my college career and beyondI am especially grateful to Dr Charles Nunnally; having arrived at university froma successful career in industry, he provided my earliest exposure to the practicalapplication of the material I strove to learn. I also thank Dr robert lorenz of theUniversity of Wisconsin at Madison, who introduced me to observers some years agoHis instruction has been enlightening and practical. Several of his university coursesare available in video format and are recommended for those who would like toextend their knowledge of controls. In particular, readers should consider ME 746which presents observers and numerous other subjectsI thank those who reviewed the manuscript for this book. Special thanks goes toDan Carlson for his contributions to almost every chapter contained herein Thanksalso to Eric Berg for his numerous insights. Thanks to the people of KollmorgenCorporation(now, Danaher Corporation), my long-time employer, for their continuing support in writing this book. Finally, thanks to Academic Press, especially to JoelClaypool, my editor, for the opportunity to write this edition and for editing, printing, distributing, and performing the myriad other tasks required to publish a bookX1

超像素分割为图像分割，图像处理的基础，文件为MATLAB和C混编的代码，demo为主程序，运行demo主程序进行超像素分割。

用matlab编的关键帧提取的代码，参考了光流法的代码。是基于帧差的欧式距离，均值，方差，差异系数下的关键帧提取。代码调试通过，运行结果理想

又是一年秋招季，2019牛客网校招面试题库（附答案与解析）C++篇，10块钱买的，可下载打印，祝大家早日收到Offer！！！

求已知数据点的拉格朗日插值多项式matlab源代码

通过485方式实现modbus协议，我也是改了改大佬的代码，增加了注释

基于MATLAB的直流电机双闭环调速系统的设计与仿真，包含matlab图。

对多进制LDPC码的构造、译码、码长及码率等方面进行仿真研究，以期为多进制LDPC码的实用化发展提供设计参考。76科技论坛如图1建立了多进制LDPC码的仿真平台,主要对多进制LD-时,对多进制LDPC码的译码算法复杂度进行计算。经仿真分析和PC码构造方法、译码算法、不同码长和不同码率进行了仿真对比。计算,基于3种算法的多进制IDPC码在高码率时均具有逞近香农系统运用高斯编码,信道是高斯白噪声信道,调整方式釆用BPSK限的特性。Ig-FF-BP译码算法的计算复杂度低于FTBP和调制,最大迭代次数为30,并且i-PG随机构造方法构造的非规BP算法,虽然BP算法表现出更好的系统性能但前者更适合于硬则LDPC码的变量节点度分布服从4(x)-038354x+0023x2+0.574092。件实现。这对多进制LDPC码的实用化有较大意义,并且对有关多表1给出了用于仿貞实验的多进制IDPC码参数,他们均为八元域进制IDC码译码算法的应用领域也有重婆的参考意义。码型且校验矩阵H的列重为4。现在对多进制LDPC码的编译码整参考文献体系统中能够对码字纠错效果产生影响的参数分别进行性能仿真。[] Gallager R.G.L灬 w Density Parity Check Codes. IRE Transac-3仿真结果tions on Information Theory 1962, 8: 208-220图2分别给出了LDPC-Ⅰ按照 Mackay、r-FS、 rg-PEG、ir-PE、[2] MacKay D.J.C. and ncal r.m. Ncar Shannon limit performanccir-QC构造方法基丁Lg-FFT-B译码算法得到的八进制LDPC码 of low- density parity- -check codes. Electronics Letters,199,32:在不同信噪比条件下的误码率曲线。由图可以看出,随着信噪比的1645-1646增加,五种码的性能开始出现差异。ir-PEC构造方法的误码率性能「3] MACKAY D, W ISON S, DAY Y M.Corconstruc明显优于其它几种构造方法,在2dB的信噪比时,误码性能接近 tions of irregular Gallager codes[J. I Transaction on Communica106数量级。其次为ir-QC、rg-PEG、rg-PS,可以看出i-QC对比于tion,199,47(10:1449-1454ir-PEG构造方法,在2dB时有10数量级的误码率性能损失。并且[4]MC. Davey and D JC. Mac Kay. Low density parity check codesrg-PEG、rg-PS两种构造方法在低信噪比下误码率性能比较接近, over GF(q) J. IEEE Communication Letter,1998,2(6):165-167但其性能明显差于ir-QC构造方法。 Mackay构造方法性能最差,当[5jLan,YY.rai, L Chen,S.Lin,andK, Abdel- Ghaffar. a trellis信噪比大于2B时,已经呈蚬差错平底效应的趋势。由图可以看出 based method for removing cycles from bipartite graphs and corir-PEG构造方法的随机性好于ir-QC结构化构造算法码字伫能, struction of low density parity check codes[ J]. IEEE Communicarg-PEG构造方法的随机性也好于rg-PS结构化构造算法码字性 tion letters,2004,8(7):443-45能,这说明非规则随机构造算法的码字性能优于随机构造算法构造[6JmXu, Lei cher, Ivana Djurdjevic, Shu lin, and Khaled ah的码字性能;对应随机构造算法构造的码字性能优于结构构造算法dl- Chaffer. Construction of Regular and Irregular LDPC Codes:构造的码字性能。因此选用ir-PEG构造方法来构造校验矩阵。 Geometry Decomposition and Masking[. iEeE Transactions orl图3分别给出了LDPC-1采用i-PG构造方法基于 Information Theory,2007,53(1:121-134Log-FFT-BP、FT-BP和BP译码算法得到的八进制LDPC码在不[7] David J C. MacKay. ood Error Correcting Codes Based on同信噪比情况下的误码率血线。从图对比可看岀,随着信噪比的增 very Sparse. EEE Transaction on Information Theory,19加BP译码算法的性能优于Iog-FT-BP和FFT-BP译码算法,而(2:399-431Log-FFT-BP和上I-BP两种译码算法在相同的伽罗华域和高信噪[8 DAVEY MC. Error correction using low density parity check比下,误码率性能没有很大的差异。同时,Log-FFT-BP的译码性能 codes. Cambridge,U.K.Uniw. Cambridge,199在2B的信噪比时,误码性能接近⑩05数量级,已满足大部分通信⑨9 Wymeersch F., Steendam H and Moeneclaey M.Iog- domain要求。decoding of LDPC codes over GF(q IC). IEEE International Con-图4分别给出了使用i-PEG构造方法相同码率不同码长基于 ference on Communications,2004:772-775多进制Lg-FI-BP译码算法得到的八进制LDPC码在低信噪比情况下的误码率曲线。由图可得出,由于传输码字长度变大,多进制LDPC码的性能随之有着显著的提高由此可知多进制LDPC码的传输码字长度变长的话,其误码纠错性能会较短码更好。这是因为码字长度的增大,使得稀疏矩阵里非零元素所占据的百分比在对应减少,进而 anner图所看到的坏长在增大,纠错性能就变的更加好。从码长度来考志,码长度为1536时,误码率曲线基于GF8在信噪比为2dB时接近106数量级,首先考虑性能问题,基于满足大部分通信要求。其次考虑码长增长,会给系统编译码带来很高的复杂度,这对实际系统来说是很严峻的问题,最后考虑硬件系统在实际仿真测试中带来性能损失,需要软件仿真来留出至少1个数量级弹性变化范围,最终确定选取码长度1536为多进制IDPC码为系统码长图5分别给出了使用ir-PEG构造方法相同码长不同码率基于多进制Iog-FFT-BP译码算法得到的八进制IDC码在低信噪比情况下的误码率曲线从图中都可以看出,在码长相同的条件下,码率越低,多进制IDC码的性能越好,但是码率越低,信息的传输速率也随之下降,则导致系统的频带利用率越低。反之,随着码率的增大,系统的误码率性能随之下降。这是因为码率越高,参加校验的校验比特越少,也就是信道编码增加的冗余度越小,系统的可靠性也随之降低。由于在码长相同的情况下,码率12性能与其他码率相比有较好的性能,所以系统方案最终选取码率1/2的多进制LDPC码。结束语本文对多进制LDPC码的编译码整体系统中能够对码字纠错效果产生影响的参数分别进行验证,运用统变量的原则分别对校验矩阵构造算法,译码算法,码长和码率等参数进行仿真对比。同