(2021年整理)MatLab_Demo

1、matlab_demomatlab_demo 編輯整理：尊敬的讀者朋友們：這里是精品文檔編輯中心，本文檔內(nèi)容是由我和我的同事精心編輯整理后發(fā)布的，發(fā)布之前我們對文中內(nèi)容進行仔細校對，但是難免會有疏漏的地方，但是任然希望（matlab_demo）的內(nèi)容能夠給您的工作和學(xué)習(xí)帶來便利。同時也真誠的希望收到您的建議和反饋，這將是我們進步的源泉，前進的動力。本文可編輯可修改，如果覺得對您有幫助請收藏以便隨時查閱，最后祝您生活愉快 業(yè)績進步，以下為matlab_demo的全部內(nèi)容。matlab demo可選案例1、lane departure warning system【來源：computer visi

2、on system toolbox】this demo detects road lane markers in a video stream and highlights the lane in which the vehicle is driven。 this information can be used to detect an unintended departure from the lane and issue a warning。simulink demo：要求：同時結(jié)合matlab/demo的m文件源代碼和simulink/demo的結(jié)構(gòu)化模塊,分析該系統(tǒng)的組成與設(shè)計。2、t

3、racking cars using gaussian mixture models【來源：computer vision system toolbox】this demo illustrates how to detect cars in a video sequence using foreground detection based on gaussian mixture models （gmms).simulink demo：tracking cars using background estimationthis demo uses computer vision system to

4、olbox blocks to illustrate how to detect and track cars in a video sequence using background estimation。要求：結(jié)合matlab/demo的m文件源代碼和simulink/demo的結(jié)構(gòu)化模塊，分析這種tracking系統(tǒng)的組成與設(shè)計.3、tracking cars using optical flow【來源：computer vision system toolbox】this demo uses system objects to illustrate how to detect and

5、track cars in a video sequence using optical flow estimation。simulink demo：tracking cars using optical flowthis demo uses computer vision system toolbox blocks to illustrate how to detect and track cars in a video sequence using optical flow estimation.要求：結(jié)合matlab/demo的m文件源代碼和simulink/demo的結(jié)構(gòu)化模塊，分析這

6、種tracking系統(tǒng)的組成與設(shè)計。4、radar tracking【來源：dsp system toolbox】simulink demo： this demonstration shows how to use a kalman filter to estimate an aircrafts position and velocity from noisy radar measurements.the demo model has three main functions。 it generates aircraft position, velocity， and acceleration

7、 in polar （rangebearing） coordinates; it adds measurement noise to simulate inaccurate readings by the sensor; and it uses a kalman filter to estimate position and velocity from the noisy measurements.要求：結(jié)合simulink/demo的結(jié)構(gòu)化模塊，分析這種雷達tracking系統(tǒng)的組成與設(shè)計。另外，也與另外一個simulink/demo的synthetic aperture radar (sa

8、r) processing這種雷達進行對比分析。5、detecting cars in a video of traffic【來源：image processing toolbox】you can use image processing toolbox to visualize and analyze videos or image sequences。 this example uses mmreader （matlab）， implay， and other image processing toolbox functions to detect lightcolored cars in

9、 a video of traffic。 note that mmreader has platformspecific capabilities and may not be able to read the supplied motion jpeg2000 video on some platforms. see the documentation for mmreader for information on which formats are supported on your platform。simulink demo：traffic warning sign recognitio

10、n【來源：computer vision system toolbox】this demo uses the computer vision system toolbox to recognize traffic warning signs, such as stop, do not enter, and yield, in a color video sequence。要求：結(jié)合m文件源代碼，分析從視頻流中檢測車輛的原理及方法.另外，與simulink/demo案例中的交通標志識別進行對比分析。6、a vehicle dynamics system【來源:system identificat

11、ion toolbox】many new vehicle features (like electronic stability programs （esp), indirect tire pressure monitoring systems （tpms), road-tire friction monitoring systems， and so forth） rely on models of the underlying vehicle dynamics. the socalled bicycle vehicle model is a rather simple model struc

12、ture that is frequently being used in the vehicle dynamics literature. in this demo we will start-off with this model structure and try to estimate the longitudinal and the lateral stiffness of a tire。 the actual modeling work was originally carried out by erik narby in his msc work at nira dynamics

13、 ab, sweden。要求：結(jié)合m文件源代碼，分析從車輛動態(tài)模型。7、modeling an automatic transmission controller【來源：simulink/sldemo_autotrans。mdl】in this demo, simulink is used to model an automotive drivetrain. stateflow enhances the simulink model with its representation of the transmission control logic。 simulink provides a po

14、werful environment for the modeling and simulation of dynamic systems and processes。 in many systems, though， supervisory functions like changing modes or invoking new gain schedules must respond to events that may occur and conditions that develop over time. as a result， the environment requires a

15、language capable of managing these multiple modes and developing conditions。 in the following example， stateflow demonstrates its strength in this capacity by performing the function of gear selection in an automatic transmission. this function is combined with the drivetrain dynamics in a natural a

16、nd intuitive manner by incorporating a stateflow block in the simulink block diagram。要求：結(jié)合simulink/demo的結(jié)構(gòu)化模塊，分析這種自動變速箱控制器系統(tǒng)的組成原理與設(shè)計方法。8、simulating automatic climate control systems【來源:simulink】in this demo we use simulink and stateflow to simulate the working of an automatic climate control system

17、in a car。 you can enter a temperature value you would like the air in the car to reach by double clicking the user setpoint in celsius block and entering the temperature value. you can also set the external temperature in celsius in a similar way. the numerical display on the right-hand side of the

18、model shows the reading of a temperature sensor placed behind the drivers head。 this is the temperature that the driver should be feeling。 when the model is run and the climate control is active, it is this display box whose value changes to show the change of temperature in the car.要求：結(jié)合simulink/de

19、mo的結(jié)構(gòu)化模塊，分析這種汽車空調(diào)控制系統(tǒng)的組成原理與設(shè)計方法。9、an industrial robot arm【來源：system identification toolbox】the industrial robot arm investigated in this case study is described by a nonlinear three-mass flexible model according to figure 1。 this model is idealized in the sense that the movements are assumed to be a

20、round an axis not affected by gravity. for simplicity， the modeling is also performed with gear ratio r = 1 and the true physical parameters are afterwards obtained through a straightforward scaling with the true gear ratio。 the modeling and identification experiments detailed below is based on the work published in e. wernholt and s. gunnarsson。 nonlinear identification of a physically parameterized robot model。 in preprints