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AI for Engineers: Building an AI System

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AI for Engineers: Building an AI System

Artificial intelligence (AI) is a simulation of intelligent human behavior. It is designed to perceive its environment, make decisions, and take action. Get an overview of AI for engineers, and discover the ways in which artificial intelligence fits into an engineering workflow. You’ll learn about steps for building an AI system such as data preparation, modeling, system design, and deployment. Learn more about AI: https://bit.ly/2KzyQBp -------------------------------------------------------------------------------------------------------- Get a free product trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See what's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2020 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.

MathWorks
How to Understand Code Generated from Simulink

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Video

How to Understand Code Generated from Simulink

One benefit to using MATLAB® and Simulink® is automatic code generation. If you have ever deployed code to a hardware board or made a standalone app, then you have generated code. But how do you go about reading and navigating the code that was generated? This video answers that question. You will learn to navigate through the C code generated from a Simulink model, and you'll see what each file does. This helps you take generated code into a different programming environment and integrate it with handwritten code. Check out the code generation tutorial series for more information: https://bit.ly/3aErrv8 -------------------------------------------------------------------------------------------------------- Get a free product trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See what's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2020 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.

MathWorks
Model-Based Design for AI in IoT Enabled Intelligent Systems

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Video

Model-Based Design for AI in IoT Enabled Intelligent Systems

In the current technology landscape, data serves as a convergence point of concurrent trends: ubiquitous sensors are generating ever larger amounts of data; pervasively connected 5G networks are making this data available at rapidly increasing speeds and size; proliferation of compute platforms enables computational applications beyond control flow–oriented Harvard architectures; and sophisticated artificial intelligence and other algorithms are uniquely creating value from these reams of data and data intensive compute resources. These trends challenge the status quo in systems development and applications and create opportunity to predict, control, and optimize processes in new ways. How can Model-Based Design tools and workflows enable engineers to conceive, optimize, and implement these complex systems? Watch a recording of the keynote at MWSCAS 2020: 63rd IEEE International Midwest Symposium on Circuits and Systems (http://mwscas2020.org/). -------------------------------------------------------------------------------------------------------- Get a free product trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See what's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2020 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.

MathWorks
Teaching Dynamics and Control with Arduino Based TCLab

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Video

Teaching Dynamics and Control with Arduino Based TCLab

MathWorks Special Session at the 59th Conference on Decision and Control Guest speaker: John D. Hedengren, Chemical Engineering, Brigham Young University The small, inexpensive, and take-home temperature control lab (TCLab) reinforces process dynamics and control theory with real data. A 2015 NSF-sponsored report “Chemical Engineering Academia-Industry Alignment: Expectations about New Graduates” identifies a strong industrial need for practical understanding of process control and system dynamics. Industry feedback also suggests more focus is needed on translating process control theory into practice. At many universities, this need is met by integrating laboratory experiences into the process control course. In-person laboratory resources are difficult to schedule and manage, especially with COVID-19 restrictions. The TCLab hardware consists of an Arduino® shield that fits onto a standard Arduino Leonardo or UNO microcontroller. This talk highlights a few examples of how the TCLab can be interfaced with and run from MATLAB® live scripts and from Simulink®. The TCLab module demonstrates many process control modalities such as SISO, MIMO, and cascade control. Students implement the control modalities by coding control algorithms including relay, PID, and model predictive control. The lab is integrated at various points in the process dynamics and control course to reinforce theory with a practical application. Check out the following resources for more information: Arduino support from MATLAB and Simulink: https://bit.ly/3gVUBHk PID Tuner to automatically tune PID controllers: https://bit.ly/38cSv1Y Interactive Live Scripts: https://bit.ly/3gYPUfS -------------------------------------------------------------------------------------------------------- Get a free product trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See what's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2020 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.

MathWorks
How to Process Signals as Frames in Simulink

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Video

How to Process Signals as Frames in Simulink

Learn how to use frame-based processing in Simulink® models to accelerate simulations and mimic the behavior of real-time systems. Paired with DSP System Toolbox™, you can configure signal processing blocks to create and operate on frames of data, allowing for multiple samples to be handled in a single timestep. See how to use Simulink graphical features including signal dimension labels and color-coded sample times to inspect and debug system models. You can also use the Simulink Profiler to assess the effects of differing data frame sizes on simulation performance. Additional Resources: - Sample- and Frame-Based Concepts: https://bit.ly/3nIV5Tz - Inspect Sample and Frame Rates in Simulink: https://bit.ly/2UFoAZJ - Convert Sample and Frame Rates in Simulink: https://bit.ly/36QbUFe -------------------------------------------------------------------------------------------------------- Get a free product trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See what's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2020 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.

MathWorks
Deep Learning in Simulink for NVIDIA GPUs: Generate C++ Code Using Simulink Coder and Embedded Coder

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Deep Learning in Simulink for NVIDIA GPUs: Generate C++ Code Using Simulink Coder and Embedded Coder

Learn how you can use Simulink® to design complex systems that include decision logic, controllers, sensor fusion, vehicle dynamics, and 3D visualization components. As of Release 2020b, you can incorporate deep learning networks into your Simulink models to perform system-level simulation and deployment. Learn how to run simulations of a lane and vehicle detector using deep learning networks based on YOLO v2 in Simulink on ARM® Cortex®-A and Intel® CPUs. The Simulink model includes preprocessing and postprocessing components that perform operations such as resizing incoming videos, detecting coordinates, and drawing bounding boxes around detected vehicles. With the same Simulink model, you can generate optimized C++ code using ARM Compute Library or Intel MKL-DNN (oneDNN) to target ARM Cortex-A and Intel CPUs. Additional Resources: - Download Code : https://bit.ly/3lL7OV6 -------------------------------------------------------------------------------------------------------- Get a free product trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See what's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2020 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.

MathWorks
Control Systems in Practice, Part 10: Nichols Chart, Nyquist Plot, and Bode Plot

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Control Systems in Practice, Part 10: Nichols Chart, Nyquist Plot, and Bode Plot

Explore three popular methods to visualize the frequency response of a linear time-invariant (LTI) system: the Nichols chart, the Nyquist plot, and the Bode plot. Learn about each method, including their strengths and weaknesses, and why you may choose one over another. Find out how each plot presents the gain and phase shift of an LTI system across frequency, and discover how the different ways to present the information can help with system identification and closed-loop controller design. Check out these other references: Disk Margin (MATLAB Tech Talk): https://youtu.be/XazdN6eZF80 Nyquist Stability Criterion (Control System Lectures): https://youtu.be/sof3meN96MA Understanding Bode Plots (MATLAB Tech Talk): https://youtu.be/F6-EaZobHNk 4 Ways to Implement a Transfer Function in Code (MATLAB Tech Talk): https://youtu.be/nkq4WkX7CFU Gang of Six Transfer Functions (MATLAB Tech Talk): https://youtu.be/b_8v8scghh8 -------------------------------------------------------------------------------------------------------- Get a free product trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See what's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2020 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.

MathWorks
3D Simulation for Testing UAV Applications

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3D Simulation for Testing UAV Applications

UAV Toolbox provides a 3D drone simulation environment rendered using the Unreal Engine® from Epic Games® to help UAV engineers build realistic scenarios, model sensors, and test UAV algorithms. Using these capabilities, you can design autonomous UAV applications, co-simulate Simulink® with Unreal Engine, and generate synthetic lidar and image data. The sensor data generated enables closed-loop simulation to verify UAV algorithms. The toolbox also supports depth and semantic segmentation visualization, which can be used to validate depth estimation algorithms and generate semantic segmentation data to train neural networks. Explore the UAV Package Delivery example to see the Unreal Engine used with multiple sensors in a real use case. Finally, while the toolbox comes installed with prebuilt scenes, you can also build custom scenes with UAV Toolbox Interface for Unreal Engine Projects. -------------------------------------------------------------------------------------------------------- Get a free product trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See what's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2020 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.

MathWorks
Use MATLAB Compiler to Package Standalone Applications into Docker Containers

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Use MATLAB Compiler to Package Standalone Applications into Docker Containers

A new feature in MATLAB Compiler™ R2020b lets you package your standalone applications into Docker container images. This allows your applications to be easily distributed and shared throughout your organization as well as in the cloud. The Docker container is completely self-contained and consists of operating system libraries, a MATLAB® Runtime optimized to run your application, and the application itself. Additional Resources: - Get MATLAB Compiler: https://bit.ly/36KbHTT -------------------------------------------------------------------------------------------------------- Get a free product trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See what's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2020 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.

MathWorks
How to Index Data Sets in MATLAB

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How to Index Data Sets in MATLAB

Learn about several methods of indexing data sets. These methods are beneficial for larger data sets, where it’s time consuming to find the exact indices for the specific data you need. Learn why using a table for data sets allows for simpler indexing using column names. You will also learn what a logical array is and how you can use them to index data sets. Additional Resources: - Learn more about indexing in MATLAB: https://bit.ly/39fanev - Learn more about logical arrays: https://bit.ly/3m7yv6p - What are tables and how to use them: https://bit.ly/3o1t1uL - Need to import your data? Learn how by watching this short video: https://www.youtube.com/watch?v=0hArv-UBKQQ&list=PLn8PRpmsu08oBSjfGe8WIMN-2_rwWFSgr&index=14&ab_channel=MATLAB -------------------------------------------------------------------------------------------------------- Get a free product trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See what's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2020 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.

MathWorks
Field-Oriented Control of Induction Motors with Simulink and Motor Control Blockset

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Field-Oriented Control of Induction Motors with Simulink and Motor Control Blockset

Learn how to design and implement field-oriented control algorithms for induction motors using reference examples included with Motor Control Blockset™. Verify the performance of your algorithm in a closed-loop simulation, then generate code and deploy it on an embedded microcontroller using Embedded Coder®. Additional Resources: - Field-Oriented Control of Induction Motor Using Speed Sensor: https://bit.ly/2UBgxgL - Control Algorithm Design for Motor Control Systems: https://bit.ly/3lGygit - Deployment and Validation of a Motor Control Algorithm: https://bit.ly/38RZHCs - Hardware Troubleshooting: https://bit.ly/2H9Xdns -------------------------------------------------------------------------------------------------------- Get a free product trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See what's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2020 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.

MathWorks
5G NR HDL Cell Search and MIB Recovery Reference Application

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5G NR HDL Cell Search and MIB Recovery Reference Application

Get an overview of the Wireless HDL Toolbox 5G NR signal synchronization block (SSB) detection and decoding FPGA implementation. -------------------------------------------------------------------------------------------------------- Get a free product trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See what's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2020 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.

MathWorks
Online Teaching and Virtual Labs with MATLAB and Simulink

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Online Teaching and Virtual Labs with MATLAB and Simulink

To continue to meet the ever-increasing demand for graduates with strong technical and problem-solving skills, universities have adopted more online, hybrid, and flipped courses. These teaching modalities require educators to redesign their courses and adopt new tools that will support student learning. MathWorks continues to provide resources to educate the next generation of engineers and scientists by developing tools to support instructors as they adapt to the changing landscape of education. In this webinar, you will learn about tools that encourage self-driven learning and cloud-based tools that afford instructors and students anytime, anywhere access to their course content. We will discuss several resources, including: - Challenging students using real-world problems with hardware, IoT, MATLAB Online™, and Simulink® - Empowering students to take ownership of their own learning with self-paced courses, MATLAB® apps, and interactive programming using Live Scripts - Mentoring students at scale with automated assessment and feedback in MATLAB Grader™ - Connecting MATLAB users through the Distance Learning Community Additional Resources: - Online Teaching with MATLAB and Simulink: https://bit.ly/3nA57q0 -------------------------------------------------------------------------------------------------------- Get a free product trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See what's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2020 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.

MathWorks
Interactively Analyze Telemetry Data with the Flight Log Analyzer App

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Interactively Analyze Telemetry Data with the Flight Log Analyzer App

The Flight Log Analyzer app, provided with UAV Toolbox, is designed to help UAV users and developers test and review their system performance. Learn how to quickly load ULOG, TLOG, or custom flight logs; display data for analysis; and generate actionable results. See how to display a map view of the flight that provides a view of the UAV flight path, and how to save and share the figures generated and sessions created. -------------------------------------------------------------------------------------------------------- Get a free product trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See what's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2020 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.

MathWorks
Drilling Modeling and Simulation

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Video

Drilling Modeling and Simulation

Whirl vibration is a well-known factor in causing destructive drilling dynamics, which frequently cause significant asset loss or non-productive time during drilling operations. Real-time analysis of drillstring dynamics is necessary to optimize surface drilling parameters and reduce vibration-related problems. However, there are complications in accessing the high frequency downhole data generated by the telemetry systems. It is also a challenge to derive the drillstring model due to the complexity of the vibration modes. Watch a demonstration of the drillstring and bottom hole assembly (BHA) formulated in Simscape™ and Simulink®. You will see models of (a) the torsional and stick-slip dynamics of the drillstring system associated with the top drive and (b) the swirling motions and stick-slip dynamics of the BHA. The modeling is greatly simplified and accelerated because of multiple prebuilt blocks in Simscape libraries such as Flexible Beam and Spatial Contact Force. Once a physics-based drilling model has been obtained, you can see it used to excite torsional vibrations and you can study the responses. This model forms the foundation for future workflows for creating digital twins and developing control strategies or predictive maintenance studies. Additional Resources: - MATLAB for the Oil and Gas Industries: https://bit.ly/3kw2Tqm - Drilling Systems Modeling & Automation: https://bit.ly/35Iy0bV -------------------------------------------------------------------------------------------------------- Get a free product trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See what's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2020 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.

MathWorks
How to Use Built-In ODE Solvers in MATLAB

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How to Use Built-In ODE Solvers in MATLAB

Learn about some of the different ways MATLAB® can solve ordinary differential equations (ODEs). This video will go over how to use built-in ODE solvers and Symbolic Math Toolbox™. In this video, you will see how to solve both single equations and systems of ODEs using ode45 and dsolve. The video compares input variables, output variables, and runtimes between the two methods to show which workflow works for your applications. Numerical ODE solvers like ode45 return solution arrays from function inputs, while symbolic ODE solvers like dsolve return symbolic solution functions from symbolic input functions. The video explores logistic population growth and Newton’s law of cooling, but you can apply these techniques to many more ODEs. This video was created as part of the MATLAB student ambassador program: https://bit.ly/36BoXdE Additional Resources: • Choosing an ODE solver: https://bit.ly/3kZMOc0 • Learn more about solving a single ODE: https://bit.ly/33dzWc8 • Learn more about solving systems of ODEs: https://bit.ly/3m7bRv4 -------------------------------------------------------------------------------------------------------- Get a free product trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See what's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2020 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.

MathWorks
Using a MATLAB or Simulink Course as an LMS Assignment

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Using a MATLAB or Simulink Course as an LMS Assignment

Learn how instructors can use an online MATLAB® or Simulink® course as an assignment within a Learning Management System (LMS). Onramp tutorials are available for free and can be assigned to build learners' prerequisite skills. Students can submit the completion certificate or progress report provided by the course to the LMS for grading. Additional Resources: More online teaching resources: https://bit.ly/3jIkk5G -------------------------------------------------------------------------------------------------------- Get a free product trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See what's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2020 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.

MathWorks
Predictive Maintenance and Control Algorithms

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Predictive Maintenance and Control Algorithms

Learn how to design predictive maintenance algorithms for a flow pack machine. It is a seemingly simple mechanism driven by an electric motor that pushes items off a conveyor belt. Many mechanical problems can take place. You will see a breakdown of components like springs and motors as well as what happens if the conveyor belt surface itself is compromised. Additional Resources: - Model-Based Design for Predictive Maintenance: https://bit.ly/3bx6KQt - Predictive Maintenance Toolbox: https://bit.ly/2ZdZzaQ -Mechatronics with MATLAB and Simulink: https://bit.ly/327yk3H -------------------------------------------------------------------------------------------------------- Get a free product trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See what's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2020 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.

MathWorks
Five Practical Tips to Speed Up Your Simulink Simulations: Parallel Simulation

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Five Practical Tips to Speed Up Your Simulink Simulations: Parallel Simulation

See the full playlist for the rest of the tips: https://www.youtube.com/playlist?list=PLn8PRpmsu08p99rnE1vTmaiiu9jY8xY2n If you are running hundreds or thousands of iterative simulations such as parameter sweeps and Monte Carlo simulations, see how parallel simulations help you reduce the overall simulation time. -------------------------------------------------------------------------------------------------------- Get a free product trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See what's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2020 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.

MathWorks
Deploying MathWorks Software

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Deploying MathWorks Software

See the various options for administrators to get MathWorks software and install it on their end users' machines. - MATLAB | Developer Tech Showcase Playlist: https://www.youtube.com/playlist?list=PLn8PRpmsu08qbAPHntzvCBN3Rw2cs9wqm - Developer Tips & Tricks Videos: https://www.youtube.com/playlist?list=PLn8PRpmsu08oYesMXL23o6WN9A3ks05iJ -------------------------------------------------------------------------------------------------------- Get a free product trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See what's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2020 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.

MathWorks
Solving Optimization Problems with MATLAB | Master Class with Loren Shure

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Solving Optimization Problems with MATLAB | Master Class with Loren Shure

In this session, you will learn about the different tools available for optimization in MATLAB. We demonstrate how you can use Optimization Toolbox™ and Global Optimization Toolbox to solve a wide variety of optimization problems. You will learn best practices for setting up and solving optimization problems, as well as how to speed up optimizations with parallel computing. Topics include: • Solving linear, nonlinear, and mixed-integer optimization problems in MATLAB • Finding better solutions to multiple minima and non-smooth problems using global optimization • Using symbolic math for setting up problems and automatically calculating gradients • Using parallel computing to speed up optimization problems Demo files: https://www.mathworks.com/content/dam/mathworks/mathworks-dot-com/company/events/post-event-email/3229065-Presentation.zip Check out these other great resources: * See if your school has a MATLAB campus license: https://www.mathworks.com/academia/tah-support-program/eligibility.html?s_eid=PSM_15028_ls_8_cl * Get a free product trial: https://www.mathworks.com/campaigns/products/trials.html?s_eid=PSM_15028_ls_8_trial * MATLAB EXPO 2020 On Demand: https://www.matlabexpo.com/online.html?s_eid=PSM_15028_ls_8_expo * Join the Simulink Student Challenge: https://www.mathworks.com/academia/student-challenge/simulink-student-challenge-2020.html?s_eid=PSM_15028_ls_8_ssc * Learn more about MATLAB: https://www.mathworks.com/products/matlab.html?s_eid=PSM_15028_ls_8_ml * Learn more about Simulink: https://www.mathworks.com/products/simulink.html?s_eid=PSM_15028_ls_8_sl * See what's new in MATLAB and Simulink: https://www.mathworks.com/products/new_products/latest_features.html?s_eid=PSM_15028_ls_8_lf

MathWorks
Five Practical Tips to Speed Up Your Simulink Simulations: Model References and Simulink Cache

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Five Practical Tips to Speed Up Your Simulink Simulations: Model References and Simulink Cache

See the full playlist for the rest of the tips: https://www.youtube.com/playlist?list=PLn8PRpmsu08p99rnE1vTmaiiu9jY8xY2n If you are working in team environment on a large model, see how using model references with parallel builds and Simulink® cache files can maximize the simulation performance. -------------------------------------------------------------------------------------------------------- Get a free product trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See what's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2020 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.

MathWorks
Update Your Campus-Wide License

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Update Your Campus-Wide License

Maintaining access to MATLAB® and Simulink® is simple once your university has renewed its Campus-Wide License. We will walk you through the process to ensure you keep your access. After you take the steps outlined in this video, you will not need to take additional steps until your university’s next renewal. -------------------------------------------------------------------------------------------------------- Get a free product trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See what's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2020 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.

MathWorks
Deep Learning in Simulink for NVIDIA GPUs: Generate CUDA Code Using GPU Coder

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Deep Learning in Simulink for NVIDIA GPUs: Generate CUDA Code Using GPU Coder

Simulink® is a trusted tool for designing complex systems that include decision logic and controllers, sensor fusion, vehicle dynamics, and 3D visualization components. As of Release 2020b, you can incorporate deep learning networks into your Simulink models to perform system-level simulation and deployment. Learn how to run simulations of a lane and vehicle detector using deep learning networks based on YOLO v2 in Simulink on NVIDIA® GPUs. The Simulink model includes preprocessing and postprocessing components that perform operations such as resizing incoming videos, detecting coordinates, and drawing bounding boxes around detected vehicles. With the same Simulink model, you can generate optimized CUDA code using cuDNN or TensorRT to target GPUs such as NVIDIA Tesla® and NVIDIA Jetson® platforms. Additional Resources: - Code Generation for a Deep Learning Simulink Model that Performs Lane and Vehicle Detection: https://bit.ly/37xluPk -------------------------------------------------------------------------------------------------------- Get a free product trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See what's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2020 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.

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Install an Individual License

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Video

Install an Individual License

Follow along to install MATLAB® and Simulink® whether you have education or commercial access. We will walk you through the different menu screens and options you will encounter during the install process. By the end of this video you will successfully install and launch MATLAB and Simulink. -------------------------------------------------------------------------------------------------------- Get a free product trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See what's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2020 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.

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