系统辨识大牛Ljung编写的MATLAB系统辨识使用手册
系统辨识大牛Ljung编写的MATLAB系统辨识使用手册，这本书详细地介绍了在MATLAB已经所属simulink环境下，系统辨识工具箱的一些使用办法，是一本非常经典的教材！Revision Historypril 1988First printingJuly 1991Second printingMay1995Third printingNovember 2000 Fourth printingRevised for Version 5.0(Release 12)pril 2001Fifth printingJuly 2002Online onlyRevised for Version 5.0.2 Release 13)June 2004Sixth printingRevised for Version 6.0.1(Release 14)March 2005Online onlyRevised for Version 6.1.1Release 14SP2)September 2005 Seventh printingRevised for Version 6.1.2(Release 14SP3)March 2006Online onlyRevised for Version 6.1.3(Release 2006a)September 2006 Online onlyRevised for Version 6.2 Release 2006b)March 2007Online onlyRevised for Version 7.0 ( Release 2007a)September 2007 Online onlyRevised for Version 7.1 (Release 2007bMarch 2008Online onlyRevised for Version 7.2(Release 2008a)October 2008Online onlyRevised for Version 7.2.1 Release 2008b)March 2009Online onlyRevised for Version 7.3(Release 2009a)September 2009 Online onlyRevised for Version 7.3.1(Release 2009b)March 2010Online onlyRevised for Version 7. 4 (Release 2010a)eptember2010 Online onlyRevised for Version 7.4.1(Release 2010b)pril 2011Online onlRevised for Version 7.4.2(Release 2011a)September 2011 Online onlyRevised for Version 7.4.3(Release 2011b)March 2012Online onlyRevised for Version 8.0( Release 2012aabout the DevelopersAbout the Developersystem Identification Toolbox software is developed in association with thefollowing leading researchers in the system identification fieldLennart Ljung. Professor Lennart Ljung is with the department ofElectrical Engineering at Linkoping University in Sweden. He is a recognizedleader in system identification and has published numerous papers and booksin this areaQinghua Zhang. Dr. Qinghua Zhang is a researcher at Institut Nationalde recherche en Informatique et en Automatique(INria) and at Institut deRecherche en Informatique et systemes Aleatoires (Irisa), both in rennesFrance. He conducts research in the areas of nonlinear system identificationfault diagnosis, and signal processing with applications in the fields of energyautomotive, and biomedical systemsPeter Lindskog. Dr. Peter Lindskog is employed by nira dynamiAB, Sweden. He conducts research in the areas of system identificationsignal processing, and automatic control with a focus on vehicle industryapplicationsAnatoli Juditsky. Professor Anatoli Juditsky is with the laboratoire JeanKuntzmann at the Universite Joseph Fourier, Grenoble, france. He conductsresearch in the areas of nonparametric statistics, system identification, andstochastic optimizationAbout the developersContentsChoosing Your System Identification ApproachLinear model structures1-2What Are Model objects?Model objects represent linear systemsAbout model data1-5Types of Model objectsDynamic System Models1-9Numeric Models1-11umeric Linear Time Invariant (LTD Models1-11Identified LTI modelsIdentified Nonlinear models1-12Nonlinear model structures1-13Recommended Model Estimation Sequence1-14Supported Models for Time- and Frequency-DomainData,,,,,,,1-16Supported Models for Time-Domain Data1-16Supported Models for Frequency-Domain Data1-17See also1-18Supported Continuous-and Discrete-Time Models1-19Model estimation commands1-21Creating Model Structures at the command Line ... 1-22about system Identification Toolbox Model Objects ... 1-22When to Construct a Model Structure Independently ofEstimation1-23Commands for Constructing Model Structures1-24Model Properties1-25See als1-27Modeling Multiple-Output Systems ......... 1-28About Modeling multiple-Output Systems1-28Modeling Multiple Outputs Directly1-29Modeling multiple outputs as a Combination ofSingle-Output Models.......1-29Improving Multiple-Output Estimation Results byWeighing Outputs During Estimation ....... 1-30Identified linear Time-Invariant models1-32IDLTI Models1-32Configuration of the Structure of Measured and Noise oRepresentation of the Measured and noise Components foVarious model Types1-33Components ....1-35Imposing Constraints on the Values of ModeParameters1-37Estimation of Linear models1-8Data Import and Processing2「Supported Data ...2-3Ways to Obtain Identification DataWays to Prepare Data for System Identification ... 2-6Requirements on Data SamplingRepresenting Data in MATLAB Workspace·····Time-Domain Data Representation2-9Time-Series Data Representation2-10ContentsFrequency-Domain Data Representation ....... 2-11Importing Data into the Gui2-17Types of Data You Can import into the GUi2-17Importing time-Domain Data into the GUI2-18Importing Frequency-Domain Data into the GUI2-22Importing Data Objects into the GUI ......... 2-30Specifying the data sampling interval2-34Specifying estimation and validation Data2-35Preping data Using Quick StartCreating Data Sets from a Subset of Signal Channelo2-362-37Creating multiexperiment Data Sets in the gUi2-39Managing data in the gui ............. 2-46Representing Time- and Frequency-Domain Data Usingiddata object2-55iddata constructor2-55iddata Properties.........2-58Creating Multiexperiment Data at the Command Line .. 2-61Select Data Channels, I/O Data and Experiments in iddataObjects2-63Increasing Number of Channels or Data Points of iddataObjects2-67Managing iddata Objects2-69Representing Frequency-Response Data Using idfrdObiec2-76idfrd Constructor2-76idfrd Properties2-77Select I/o Channels and Data in idfrd Objects ..... 2-79Adding Input or Output Channels in idfrd Objects2-80Managing idfrd Objects2-83Operations That Create idfrd Objects2-83Analyzing Data quality2-85Is your data ready for modeling?2-85Plotting Data in the guI Versus at the command line2-86How to plot data in the gui2-86How to plot data at the command line2-92How to Analyze Data Using the advice Command2-94Selecting Subsets of Data2-96IXWhy Select Subsets of Data?2-96Extract Subsets of Data Using the GUI2-97Extract Subsets of data at the Command Line2-99Handling Missing Data and outliers2-100Handling missing data2-100Handling outliers2-101Extract and Model Specific Data Segments2-102See also2-103Handling offsets and Trends in Data2-104When to detrend data2-104Alternatives for Detrending Data in GUi or at theCommand-Line2-105Next Steps After detrending2-107How to Detrend Data Using the Gui2-108How to detrend data at the Command line2-109Detrending Steady-State Dat109cending transient Dat2-109See also2-110Resampling Data2-111What Is resampling?...,,.,,,,,,,,,,,.2-111Resampling data without Aliasing Effects2-112See also2-116Resampling data Using the GUi.,,,,2-117Resampling Data at the Command line2-118Filtering Data2-120Supported Filters2-120Choosing to Prefilter Your Data2-120See also2-121How to Filter Data Using the gui2-122Filtering Time-Domain Data in the GuI........ 2-122Content
- 2020-12-11下载
- 积分：1
西门子S7-1200 SCL编程指令手册.pdf
西门子1200PLC SCL编程指令手册，详细介绍西直门1200和1500PLC的SCL编程指令R_TRG检测信号上升沿(S7-1200,S7-1500)RTR|G:检测信号上升沿唱圆说明使用检测信号上升沿”指爷,可以检测输入CLK的从“0"到“1”的状态变化。该指合捋输入CLK的当前值与保存在指定实例中的上次查询(边沿存储位)的状态进行比较。如果该指合检测到输入CLK的状态从“03变成了“1”,就会在输出Q中生成一个信号上升沿,输出的值将为TRUE或“1”一个周期。在其它任何情况下,该指合输出的信号状态均为“0”。烀该指合插入程序中时,烀自动打开“调用选项" Call options)对话框。在该对话框中,可以指定将边沿存储位存储在自身数据块中(单背景)或者作为局部变量存储在块接口中(多重背景)。语法“检测信号上升沿”指爷的语法如下所示(CLK:=参数下表列出了“检测信号上升沿”指爷的参数:参数声明数据类型存储区说明CLKInputBOOL、Q、M、D、L|到达信号,查询该信号的边QOutputBOOL1、Q、MAD、L边沿检测的结果示例以下示例说明了该指合的工作原理SCLR TRIG DB"(CLK : -TagIn>Tagout)i输入CLK中变量的上一个状态存储在“ R TRIG DB”变量中。如果在操作数Tagn1和"Tagn2”或在操作数“Tagn3中检测到信号状态从“0变为“1”,则输出“ Tagout_Q的信号状态为“”一个周期。3F_TRG:检测信号下降沿(S7-1200,S7-1500)FTRG检测信号下降沿唱圆说明使用检测信号下降沿”指爷,可以检测输入CLK的从“1”到"0”的状态变化。该指合捋输入CLK的当前值与保存在指定实例中的上次查询(边沿存储位)的状态进行比较。如果该指合检测到输入CLK的状态从“1"变成了“0,就会在输出Q中生成一个信号下降沿,即输出的值烀为TRUE或“1”一个周期。在其它任何情况下,该指合输出的信号状态均为“0”。烀该指合插入程序中时,烀自动打开“调用选项" Call options)对话框。在该对话框中,可以指定将边沿存储位存储在自身数据块中(单背景)或者作为局部变量存储在块接口中(多重背景)。语法“检测信号下降沿”指爷的语法如下所示(CLK:=参数下表列出了“检测信号下降沿指合的参数:参数声明数据类型存储区说明CLKInputBOOLQ,M、D、L到达信号,查询该信号的边沿QOutputBOOLQ、M、D、L|边沿检测的结果示例以下示例说明了该指合的工作原理SCLF TRIG DB(CLK :TagIn2 =>Tagout)输入CLK中变量的上一个状态存储在“FTRG_DB"变量中。如果检测到操作数“Tagn"的信号状态从“1变为“0”,则输出" Tagout"的信号状态为“1"4定时器操作(S7-1200,S7-1500)定时器操作该章节包括以下主题的信息:TP:生成脉冲S7-1200,S7-1500)TON:接通延时(S7-1200S7-1500ToF∴关断延时(S7-1200,S7-1500)●TONR:时间累加器(S7-1200,S7-1500)RESET TIMER:复位定时器(S7-1200,S7-1500)PRESET TIMER:加戟持续时间(S7-1200,S7-1500)°传统(S7-15005TP:生成脉冲(S7-1200,S7-1500)TP:生成脉冲唱圆说明使用“生成脉冲”指合来设置持续时间PT的参数Q。当参数|N的逻辑运算结果(RLO)从0变为“1”(信号上升沿)时,启动该指合。指合启动时,预设的时间PT即开始计时。随后无论输入信号如何改变都会将参数Q设置为时间PT。如果持续时间PT仍在计时,即使检测到新的上升沿,参数Q的信号状态也不会受到影响。可通过ET参数查询当前的时间值。该时间值从T#0s开始,在达到持续时间PT后结束。达到持续时间PT时,且参数|N的信号状态为“0”,则复位参数ET。说明如果程序中未调用定时器(这是因为会忽略定时器),则输出ET会在定时器计时结束后立即返回个常数值。每次调用“生成脉冲指合,都会为其分配一个G定时器用于存储指合数据。对于S7-1200cPUEC定时器是一个 C TIMER或 TP TIME数据类型的结构,可如下声明声明为一个系统数据类型为|C_TMER的数据块(例如,MyEC_TMER●声明为块中“ Static程序段内类型为 TP TIME的局部变量(例如,# MyTP_TIMER)对于S7-1500cPUEC定时器是一个 C TIMER、旧 C LTIMER、 TP TIME或 TP LTIME数据类型的结构,可如下声明声明为一个系统数据类型为 C TIMER或lC_ LTIMER的数据块(例如," MylEC_TIMER”)声明为块中 Static部分的 TP TIME或 TP LTIME类型的局部变量(例如,# MyTP_ TIMER)在程序中插入该指合时,将打开“调用选项” Call options)对话框,可以指定C定时器将存储在自身数据块中(单个背景)或者作为局部变量存储在块接口中(多重背景如果创建了一个单独的数据块则该数据块捋保存到项目树“程序块>系统块"( Program blocks> System blocks)路径中的“程序资源( Program resources)文件夹内。有关本主题的更多信息,请参见“另请参见"。只有在调用该指合且每次都会访问Q或ET输出时,才会更新指爷数据。语法生成脉冲”指合的语法如下所示●系统数据类型为EC_ Timer的数据块(全局DB)SCLTP(IN:=PT:=ET=>●局部变量TP:生成脉冲(S7-1200,87-1500)SCLmoloc1 timer(工NPT:=rQ=>)该指合的语法由以下部分组成参数声明数据类型存储区说明s7-1200S7-1500NBOOLBOOL.M.D.|启动输及脉冲的持续时PTIniTIMETIMEl、Q、M、D、间。LTIMEPT参数的值必须为正数OutputBOOLBOOLQ、M、D、在PT持续时间内保持置位状态的操作数TIMEETOutputMEl、Q、M、DLTIME当前时间值有关有效数据类型的更多信息,请参见“另请参见"。脉冲时序图下图显示了“生成脉冲”指合的脉冲时序图PTPTPTET示例7TP:生成脉冲(S7-1200,S7-1500)以下示例说明了该指爷的工作原理SCLTP DB".TP(IN Tag start,PT :=Tag PresetTime"Tag statusET =>"Tag ElapsedTime")i当“ Tag_ start"操作数的信号状态从“0”变为“1"时,PT参数预设的时间段开始计时,同时"Tag_ Status"操作数置位为“1”。当前时间值存储在 Tag_ ElapsedTime"操作数中8TON:接通延时(S7-1200,S7-1500)TON:接通延时唱圆说明可以使用接通延时”指合捋Q参数的设置延时PT指定的一段时间。当参数N的逻辑运算结果(RLO从“0变为“1”(信号上升沿)时,启动该指合。指合启动时,预设的时间PT即开始计时。超过持续时间PT时,参数Q的信号状态变为“1。只要启动输入仍为“1”,参数Q就保持置位。如果|N参数的信号状态从“1变为"0”,则复位参数Q。当在参数N上检测到一个新的信号上升沿时,将重新启动定时器功能。可通过ET参数查询当前的时间值。该时间值从T#0s开始,在达到持续时间PT后结束。只要参数N的信号状态变为0”,就立即复位ET参数。说明如果程序中未调用定时器(这是因为会忽略定时器),则输出ET会在定时器计时结束后立即返回一个常数值。每次调用“接通延时指合,必须捋其分配给存储指合数据的EC定时器对于S7-1200CPUEC定时器是一个 C TIMER或 TON TIME数据类型的结构,可如下声明●声明为一个系统数据类型为 C TIMER的数据块(例如, MylEC_ TIMER”)●声明为块中“ Static"程序段内类型为 TON TIME的局部变量(例如,# MyTON_TIMER)对于S71500cPUEC定时器是一个|EC_TMER、 EC LTIMER、TON_TME或 TON LTIME数据类型的结构,可如下声明●声明为一个系统数据类型为旧EC_ TIMER或C_ LTIMER的数据块(例如," MylEC_TIMER")声明为块中“ Static"部分的 TON TIME或 TON LTIME类型的局部变量(例如,# My TON_ TIMER)在程序中插入该指合时,捋打开“调用选项( Call options)对话框,可以指定C定时器烀存储在白身数据块中(单个背景)或者作为局部变量存储在块接口中(多重背景)。如果创建了一个单独的数据块,则该数据块捋保存到项目树“程序块>系统块( Program blocks> System blocks)路径中的“程序资源Program resources)文件夹内。有关本主题的更多信息,请参见“另请参见”。只有在调用该指合且每次都会访问Q或ET输出时,才会更新指合数据。语法接通延时指合的语法如下所示●系统数据类型为C_Tmer的数据块(全局DB)SCLTON(N:=PT:=,Q=>,三=>)9TON:接通延时(S7-1200,S7-1500)●局部变量SCLmoloc1 timer(工N:=rPT:=rQ=>ET)该指合的语法由以下部分组成参数声明数据类型存储区说明s7-1200s7-1500NInputBOOLBOOLl、Q、M、D启动输入接通延时的持TIME、Q、M、D、续时间PTInputTIMELTIMEPT参数的值必须为正数定时器PT内时OutputBOOLQ、M、D、间用完时,保持BOOL置位状态的操作数。TIMETIMEQ、M、DETOutputLTIME当前时间值有关有效数据类型的更多信息,请参见“另请参见”。脉冲时序图下图显示了“接通延时指合的脉冲时序图PTET
- 2020-12-03下载
- 积分：1
