simulink

How convert simulink files to XML

别等时光非礼了梦想. 提交于 2020-01-10 20:12:17
问题 I need convert an Simulink file (.mdl) to an XML file, after any searches i'm not found any content to help me with this problem. You'd know some way or ready solution for this in Java? 回答1: Starting in R2008b, you can export an .mdl file to an .xml file using save_system, >> save_system('model.mdl', 'model_xml.xml','ExportToXML', true); 回答2: I know of no easy solution. However, there are a couple of libraries in Java that apparently can parse simulink files. They should be sufficient to give

How convert simulink files to XML

不打扰是莪最后的温柔 提交于 2020-01-10 20:11:28
问题 I need convert an Simulink file (.mdl) to an XML file, after any searches i'm not found any content to help me with this problem. You'd know some way or ready solution for this in Java? 回答1: Starting in R2008b, you can export an .mdl file to an .xml file using save_system, >> save_system('model.mdl', 'model_xml.xml','ExportToXML', true); 回答2: I know of no easy solution. However, there are a couple of libraries in Java that apparently can parse simulink files. They should be sufficient to give

Rising or Falling Edge-Triggered Delayer for SIMULINK models

假如想象 提交于 2020-01-06 14:48:41
问题 My Problem I want to model a block called "confirmer". The specification is that the output will SIMPLY be the delayed version of input based on an edge (rising/falling). To clarify, I will try to put the timing diagrams below: ___________________________ | | Input _______| |____________________________ (Tdelay) _____________________ | | Output ______________| |____________________________ And ____________________________ | | Input _______________| |____________________________ (Tdelay) _____

System call from Simulink possible?

江枫思渺然 提交于 2020-01-05 23:58:12
问题 Is it possible to do a system call from Simulink? I haven't found it in documentation, but maybe there is a workaround. Or, it can be as easy as an function call. 回答1: You should be able to use an Embedded MATLAB Function Block to run a MATLAB function from Simulink. Within this function you can make a call to the SYSTEM function to execute an operating system command. 回答2: Yes, I do believe this is possible through S-Functions. Unfortunately, you must drop down to C or C++ and deal with a

System call from Simulink possible?

醉酒当歌 提交于 2020-01-05 23:58:06
问题 Is it possible to do a system call from Simulink? I haven't found it in documentation, but maybe there is a workaround. Or, it can be as easy as an function call. 回答1: You should be able to use an Embedded MATLAB Function Block to run a MATLAB function from Simulink. Within this function you can make a call to the SYSTEM function to execute an operating system command. 回答2: Yes, I do believe this is possible through S-Functions. Unfortunately, you must drop down to C or C++ and deal with a

Is is possible to programmatically play a Simulink model and measure its states?

一个人想着一个人 提交于 2020-01-02 08:17:23
问题 I am looking to set up a test set for an existing Simulink model. Ideally I could take full control of the model, explicitly stepping it and measuring the state of any signal on any bus in the model. As might have been gleaned, this is the precursor of a unit testing system for the model. Being so, I can't really justify changing the model to suit the test, the test must accommodate the model as-is. The furthest I've got so far is using load_model() to return a handle to the model. From there

Kalman filter in computer vision: the choice of Q and R noise covariances

浪尽此生 提交于 2020-01-01 03:17:34
问题 I read some works about Kalman filter for CV object tracking but I can't find some reference about the choice of: 1)the process noise covariance Q; 2)Measurement noise covariance R. So far I have realized that the model is equation of motion (someone uses acceleration as state variable, others use position and speed only) but nobody is clear about Q and R choice including this example by mathworks: http://www.mathworks.it/it/help/vision/examples/using-kalman-filter-for-object-tracking.html

Implementation of custom counter logic in SIMULINK

我怕爱的太早我们不能终老 提交于 2019-12-31 05:15:15
问题 I am trying to implement a counter logic in SIMULINK where in1, in2 are inputs out1 is the output if in2 = 0, out1 = 0; if in2 = 1, out1 = 1 after x high edges of in1 I have tried using "Detect Rise Positive" block but failed miserably because I don't have sufficient experience of implementing a timing diagram correctly in SIMULINK. Could anyone kindly point me to the right direction? Update An approach I have taken since I posted this question is the "Triggered and enabled subsystem". I am

simulink将值传递给mask封装下的模块

半世苍凉 提交于 2019-12-27 04:02:42
文章目录 参数提升 使用变量名称引用模块参数 参考链接 参数提升 1. Mask-->Create Mask 2. Parameters & Dialog-->Promote ,点击 Promote 两次 3. 出现两个变量,点击图中3所示。 4. 添加 Promoted parameters 5. 更改参数属性 Property editor-->Properties 6. 将 #2 更改为 m 7. 点击 ok 8. 回到主界面,双击 Subsystem ,即可更改参数 m,b 为 3,3 9. 运行仿真,查看输出 使用变量名称引用模块参数 1.s函数的代码: 〔程序代码〕ch2example22Sfun.m 2. 双击 ch2example22Sfun 模块,输入参数如下图: 3. 在 S-Function 模块上右键, Mask-->Create mask 4. 在 Parameters & Dialog 界面,连续四次点击 Edit ,创建四个变量 #1 #2 #3 #4 5. 更改四个变量的 Prompt 和 Name 属性如下图,并点击 ok 结束设置 6. 回到主界面,双击模块,设置参数为 2 10 1 0 7. Signal Generator 设置参数为 4 1 8. 运行仿真,查看示波器输出 参考链接 Pass Values to Blocks Under

Matlab/Simulink中各种求解算法总结

天大地大妈咪最大 提交于 2019-12-26 22:51:52
Solver中,变步长包括了discrete,ode45,ode23,ode113,ode15s,ode23s,ode23t和ode23tb。 1.Disctete:当Simulink检测到模块没有连续状态时使用。 2.ode45:求解器算法是四阶或五阶龙格库塔法,为系统默认值,适用于大多数连续系统或离散系统仿真,但不适用于Stiff(刚性)系统。 3.ode23:求解器算法是二阶或三阶龙格库塔法,它在误差限要求不高和求解的问题不太复杂的情况下比ode45更有效。 4.ode113:一种阶数可变的求解器,它在误差要求严格的情况下通常比ode45更有效。 5.ode15s:是一种基于数字微分公式的求解器,适用于刚性系统。当用户估计要解决的问题比较复杂,或者不使用ode45或者效果不好时,可以使用ode15s。通常对于刚性系统,如果用户选择了ode45求解器,运行仿真后Simulink会弹出警告对话框,提醒用户选择刚性系统,但不会终止仿真。 6.ode23s:是一种单步求解器,专门用于刚性系统,在弱误差允许条件下效果会高于ode15s。它能解决某些ode15s不能解决的问题。 7.ode23t:是梯形规则的一种自由差值实现,适用于求解适度刚性的问题而用户又需要一个无数字振荡的求解器时使用。 8.ode23tb:具有两个阶段的隐式龙格库塔公式。 固定步长求解器的算法包括disctete