結果:

We've all been there. You've got some kind of output that displays perfectly in the command window and you just want to capture that display as a string so you can use it again somewhere else. Maybe it's a multidimensional array, a table, a structure, or a fit object that perfectly displays the information you need in a neat and tidy format but when you try to recreate the display in a string variable it's like reconstructing the Taj Mahal out of legos.

Enter Matlab r2021a > formattedDisplayText()

Use str=formattedDisplayText(var) the same way you use disp(var) except instead of displaying the output, it's stored as a string as it would appear in the command window.

Additional name-value pairs allow you to

• Specify a numeric format
• Specify loose|compact line spacing
• Display true|false instead of 1|0 for logical values
• Include or suppress markup formatting that may appear in the display such as the bold headers in tables.

Demo: Record the input table and results of a polynomial curve fit

load census
[fitobj, gof] = fit(cdate, pop, 'poly3', 'normalize', 'on')

Results printed to the command window:

fitobj = 
     Linear model Poly3:
     fitobj(x) = p1*x^3 + p2*x^2 + p3*x + p4
       where x is normalized by mean 1890 and std 62.05
     Coefficients (with 95% confidence bounds):
       p1 =       0.921  (-0.9743, 2.816)
       p2 =       25.18  (23.57, 26.79)
       p3 =       73.86  (70.33, 77.39)
       p4 =       61.74  (59.69, 63.8)

gof = 
  struct with fields:

             sse: 149.77
         rsquare: 0.99879
             dfe: 17
      adjrsquare: 0.99857
            rmse: 2.9682

Capture the input table, the printed fit object, and goodness-of-fit structure as strings:

rawDataStr = formattedDisplayText(table(cdate,pop),'SuppressMarkup',true)
fitStr = formattedDisplayText(fitobj)
gofStr = formattedDisplayText(gof)

Display the strings:

rawDataStr = 
    "    cdate     pop 
         _____    _____
         1790       3.9
         1800       5.3
         1810       7.2
         1820       9.6
         1830      12.9
         1840      17.1
         1850      23.1
         1860      31.4
         1870      38.6
         1880      50.2
         1890      62.9
         1900        76
         1910        92
         1920     105.7
         1930     122.8
         1940     131.7
         1950     150.7
         1960       179
         1970       205
         1980     226.5
         1990     248.7
     "

fitStr = 
    "     Linear model Poly3:
          ary(x) = p1*x^3 + p2*x^2 + p3*x + p4
            where x is normalized by mean 1890 and std 62.05
          Coefficients (with 95% confidence bounds):
            p1 =       0.921  (-0.9743, 2.816)
            p2 =       25.18  (23.57, 26.79)
            p3 =       73.86  (70.33, 77.39)
            p4 =       61.74  (59.69, 63.8)
     "

gofStr = 
    "           sse: 149.77
            rsquare: 0.99879
                dfe: 17
         adjrsquare: 0.99857
               rmse: 2.9682
     "

Combine the strings into a single string and write it to a text file in your temp directory:

txt =  strjoin([rawDataStr; fitStr; gofStr],[newline newline]);
file = fullfile(tempdir,'results.txt');
fid = fopen(file,'w+');
cleanup = onCleanup(@()fclose(fid)); 
fprintf(fid, '%s', txt);
clear cleanup

Open results.txt.

winopen(file) % for Windows platforms

Hi, MathWorks / MATLAB / Simulink community! I have recently started working my way through the book mentioned in the topic, and I am wondering if anybody out there would be interested and have time to help me review some of my work on the exercises. Specifically, I'm currently working "Exercise 7.9 - Challenge: Design of a Type 2 PLL" and I am not convinced that my implementation is correct, but I'm having some trouble with debugging.

Is anyone interested and have time to review my implementation and give some feedback? I'd definitely appreciate it.

Thanks!

Shaun Lippy Middleburg, VA, USA

ASME will be hosting a four-part conversation series from March 22-25, that will educate and equip mechanical engineers with workforce strategies. The series will bring together leaders and industry experts in education to explore which new skills will be taught to young engineers, what training mid-career engineers need in order to return to work as the pandemic subsides, and how much more can be done to confront the labor and skills gap in 2021 and beyond.

I was honored to be asked to participate in the first panel discussion along with distinguished faculty from MIT and the University of Colorado Boulder. I would encourage all of our customers involved in online teaching and learning to attend. More details on the panel discussion that features MathWorks response to COVID-19 are below:

The Evolution of Engineering Education Post-COVID-19 (March 22): The transition to remote learning was a shock for many universities and colleges across the country. Professors had to transform their in-person lecture into an engaging online class, and students had to take on more self-learning responsibilities. What impact will this change in teaching have on the future of education? This conversation will focus on the shift to online education at universities, the digital engineering skills students will need to learn, and how academia and industry can work together to prepare the young engineers entering the workforce.

The Evolution of Engineering Education Post-COVID-19 : https://app.webinar.net/vlOW9kK90wm?mcc=EDIT

I just started my MPhil in power systems and we are doing load flow analysis. I am completely lost throughout the gauss seidel and newton Raphson methods using MatLab. can I get help, please?

This is a great presentation from 2 professors introducing how they use MATLAB in their physics courses. MATLAB Grader and Live Scripts are discussed in detail.

YouTube Video

Here is the abstract:

-----

Guest Presenters: Michele McColgan, Siena College and Duncan Carlsmith, UW Madison

The meeting will start with short presentations, and then we'll have time for questions and discussion in a colloquial setting. The presenters use MATLAB in their courses, and this meeting will provide a good opportunity to see the functionality that MATLAB affords. However, the presenters' approach to integrating computation is relevant generally; thus, this meeting should be of great interest, even if you are not a MATLAB user.

-----

Webinar from PICUP .

Prof. Duarte Antunes from Eindhoven University of Technology explains how he's been using MATLAB live scripts for teaching an online "Optimal Control and Dynamic Programming" course.

https://www.mathworks.com/company/newsletters/articles/using-matlab-live-scripts-to-teach-optimal-control-and-dynamic-programming-online.html

WiDS Datathon 2021 is going on right now. The focus of the Datathon this year is "on creating models to classify whether patients have been diagnosed with a certain type of diabetes." You can register and participate until March 1.

Also, take a look at this blog post on the MATLAB benchmark code for this datathon.

MATLAB Benchmark Code for WiDS Datathon 2021

There are also various online challenges by MathWorks that students may be interested. Here are the winners from last year's Simulink Student Challenge. There was also a MATLAB Online Live Editor Challenge a couple of years ago.

Hello , I wonder how to determine continous or discrete time modelling.For example if I want to run my model in MCU in this case discrete model is suitable?I am a bit confused

MATLAB Answers will now properly handle the use of the '*@*' character when you want to get someone's attention. This behavior is commonly referred to as 'mentioning' or 'tagging' someone and is a feature found in most communication apps.

Why we are doing this

To help with communication and potentially speed up conversations. Also, it turns out many of you have been typing the @ character in Answers already, even though the MATLAB Answers site didn't behave in the expected way.

How it works

Once you type the @ character a popup will appear listing the community members already in the Q/A thread, as you keep typing the list will expand to include members not in the thread. A mentioned user will receive a notification when the question/answer/comment is posted. Each mention in the Q/A thread will have a new visual style and link to the user profile for that community member.

If you don't want to get 'mentioned' you can turn off the setting in your communication preferences located on your profile page .

We hope you will find this feature helpful and as always please reply with any feedback you may have.

We have created a new community for users of ThingSpeak. This new community is for students, researchers, and engineers looking to use MATLAB, Simulink, and ThingSpeak for Internet of Things applications. You can find the latest ThingSpeak news, tutorials to jump-start your next IoT project, and a forum to engage in a discussion on your latest cloud-based project. You can see answers to problems other users have solved and share how you solved a problem.

Christopher Stapels will be moderating the new ThingSpeak community .

We encourage you to visit the new community and share best practices, examples, and ask questions.

Happy New Year, everyone! We hope you enjoyed the Cody contest in 2020, learned new MATLAB skills, and made a friend or two. While the 2020 contest has concluded, the fun and learning never end.

Please take the 1-minute survey to talk about your experience (only 2 required questions). Our goal is to make future contests better and more appealing to you, so your feedback is critical to us.

Thank you in advance and hope to see you again in the 2021 contest.

Here's an example of virtualizing a lab course.

https://www.mathworks.com/company/newsletters/articles/virtualizing-electrical-engineering-teaching-labs.html

Ameer Hamza had a great 2020 and has been awarded the coveted MOST ACCEPTED answers badge for all his contributions in MATLAB Answers this past year. Ameer joins Walter Roberson and Image Analyst in receiving this award going all the way back to 2012!

There are 10 community members who have achieved the Top Downloads badge for their popular File Exchange submissions in 2020. Do you recognize any of these names? There's a good chance you've used one or more of their toolboxes or scripts in your work if you're a frequent visitor to File Exchange, if you're not you might want to check out what they've posted, it may save you a lot of time writing your own code.

--------------------- Top Downloads Badge Winners -----------------

• PIRC
• Scott Lowe
• Yair Altman
• Dr. Siva Malla
• Chad Greene
• Seyedali Mirjalili
• Giampiero Campa
• Rodney Tan
• John D'Errico
• Steve Miller

Congratulations to all these winners and a giant THANK YOU for all they've done this past year to help everyone in the MATLAB Central community!

I am currently working on simulink online but I cannot maximize the screen

Just making sure people are aware of our new Onramp courses. These are great self-learning resources for students.

Released a few months ago:

• Image Processing Onramp
• Control Design Onramp with Simulink

Released this month:

• Signal Processing Onramp

How do you teach subjects like Programming and Numerical Computing hands-on in these challenging times?

Prof Chiranjoy Chattopadhyay at the Dept of Computer Science and Engineering at IIT Jodhpur shares his innovative approach to teaching at a distance in this new Technical Article on Teaching Parallel Computing Online with MATLAB.

The course utilized MATLAB Online , MATLAB Onramp and MATLAB Grader to train students in the basics of technical computing, in addition to using a Hands-on Online GPU workshop organised with the MathWorks Education Team. As a result of this approach to distance teaching, the students have reported good levels of understanding in the main learning outcomes of this course, as indicated in the survey results (below):

Please consider trying out the links above to check if your course might benefit from a similar approach, and feel free to message us if you are interested in learning more.

I just highlighted an app on File Exchange for emulating an experiment. Great idea for doing lab classes with software. What I like about this app is that it incorporates statistical variance and measurement noise that comes from physical experiments.

Read more about it here:

https://blogs.mathworks.com/pick/2020/11/20/emulating-a-physical-experiment-of-measuring-mms/