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1.Matlab/Simulink-commonly used blocks Constant & Product Blocks
 
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This video shows how to work with constant and product blocks in matlab/simulink software
Views: 438 Nageswar J
Introduction to Simulink - Webinar
 
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Get introduced to Simulink in this webinar for beginners. Get a Free Trial: https://goo.gl/C2Y9A5 Get Simulink Training: https://goo.gl/V5AH3q Explore Simulink, an environment for multidomain simulation and Model-Based Design for dynamic and embedded systems. Through product demonstrations, you will see a high-level overview of the major capabilities and how you can use Simulink to design, simulate, implement, and test a variety of time-varying systems, including communications, controls, signal processing, video processing, and image processing. About the Presenters: Ryan Gordon has over 4 years of experience with MATLAB and Simulink. Prior to joining MathWorks Ryan developed guidance and control systems for unmanned aircraft. Michael Carone is a senior product marketing manager for the Simulink platform. Michael’s background is in mechanical engineering and engineering design processes.
Views: 139971 MATLAB
Getting Started with the Mobile Robotics Simulation Toolbox -- MATLAB and Simulink Robotics Arena
 
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Sebastian Castro shows you how to get started with the Mobile Robotics Simulation Toolbox [https://goo.gl/oNnh8e] entry on the MATLAB Central File Exchange. This toolbox contains functionality to simulate mobile robot kinematics and sensors in a 2D environment using MATLAB® code and Simulink® models. This allows you to test control, navigation, and sensor processing algorithms in simulation before implementing them on robot hardware. For more information, check out the following resources: Download the toolbox from the MATLAB Central File Exchange: https://goo.gl/HhBJwL Learn more about robotics with MATLAB and Simulink: https://goo.gl/Zf8Ju6 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 Learn more about Powertrain Blockset: https://goo.gl/ssotUh See What's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2018 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 maybe trademarks or registered trademarks of their respective holders.
Views: 1438 MATLAB
Programming Raspberry Pi with Simulink
 
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Install the Raspberry Pi® support package and download an image inversion model to Raspberry Pi using a step-by-step workflow with Simulink®. Get a Free Product Trial: https://goo.gl/ScEHEe Raspberry Pi Programming with MATLAB and Simulink: http://goo.gl/7IMV8k Raspberry Pi Support from Simulink: http://goo.gl/4mbMVv
Views: 88388 MATLAB
Physical Modeling with Simscape
 
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Simscape™ makes it easy to model physical systems, including electrical, mechanical, and hydraulic components. Learn more about Simscape: http://goo.gl/Jhsth7 Get a free Product Trial: https://goo.gl/5NvCdU A hydraulic scissor jack, controlled by an electrical circuit, is used to show some of the modeling, simulation, and deployment capabilities of Simscape. With Simscape you can: • Model electrical, mechanical, and hydraulic systems • Create custom components with Simscape language • Enhance your models with Simscape add-on libraries • Detect causes of slow simulations profiling tools • Run simulations in real-time for HIL testing Physical systems often span multiple physical domains, and require modeling techniques beyond input/output blocks and transfer functions. Simscape enables engineers to use physical modeling methods within the Simulink environment, and leverages solver technology designed for physical systems. With the foundation library, Simscape language, and add-on libraries, a wide range of systems can be modeled, including multibody systems. Teams working with Simscape models can share without needing a license for add-on products while performing tasks such as parameter sweeps and code generation for HIL testing.
Views: 28189 MATLAB
Importing a CAD Suspension Assembly into SimMechanics
 
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Get a Free Trial: https://goo.gl/C2Y9A5 Get Pricing Info: https://goo.gl/kDvGHt Ready to Buy: https://goo.gl/vsIeA5 Import a CAD assembly to SimMechanics™ using SimMechanics Link. Add tire model and steering system, and automate toe and camber tests using MATLAB®. For more videos, visit: http://www.mathworks.com/products/simmechanics/videos.html
Views: 12175 MATLAB
Programming TI C2000 Launchpad with Simulink
 
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Get a Free Trial: https://goo.gl/C2Y9A5 Get Pricing Info: https://goo.gl/kDvGHt Ready to Buy: https://goo.gl/vsIeA5 Program TI C2000 LaunchPad using Simulink®for your real-time control programming applications. To Download the files used in this video: http://www.mathworks.com/matlabcentral/fileexchange/45124-motor-control-with-ti-launchpad
Views: 38141 MATLAB
Simulink for Beginners, Part 1
 
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The basics of creating a model based on a simple differential equation using basic add / multiply / integrate blocks for students new to Simulink. You can contribute to this channel by submitting closed captions!
Views: 22135 James Kerns
Formula Student: Simulink® and CarMaker
 
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In collaboration with Christoph Hahn from MathWorks, our employee Prasanna Kannan presents some of the benefits of Simulink® and CarMaker. This video is divided into three parts: First, Prasanna illustrates the Simulink interface of CarMaker. After that, he shows how to extend models and add self-developed control strategies to the vehicle model. Afterwards, Prasanna highlights CarMaker’s capabilities to interface with MathWorks code generation tools. Finally, the real-time capabilities of both Simulink and CarMaker will be highlighted.
Views: 11639 IPG Automotive GmbH
Rhapsody And Simulink Integration
 
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Demonstration of Rational Rhapsody's integration with Mathworks Simulink
Views: 10015 Andy Lapping
Sampling Signals Part 2 (2/10) - Time-Bandwidth Product Matlab Script
 
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The previous video in this playlist introduced the time-duration (Td) and bandwidth metrics (Bw) and said that the time-bandwidth product was always greater than or equal to 1/2 (i.e Td*Bw greater than or equal to 0.5). This video examines the this time-bandwidth product via experimenting with a Matlab script. The continuous time-signal x(t) = exp(-a|t|) is parameterized by "a" which controls how quickly the signal decays in the time-domain. The spectrum of this signal (i.e. X(w)) is computed analytically and both Td and Bw are computed numerically in Matlab. We show that as "a" varies, the spectrum changes accordingly (compression in time leads to expansion in frequency and expansion in time leads to compression in frequency). Also, regardless of the values of Td and Bw, we still have Td*Bw greater than or equal to 1/2 as expected. -~-~~-~~~-~~-~- Checkout my newest video: "Signal Operations: Time Scaling, Downsampling, and Upsampling" https://www.youtube.com/watch?v=RWM-zmyDKp8 -~-~~-~~~-~~-~-
Views: 1856 Adam Panagos
How to Build a Heart Rate Detector Using Arduino and MATLAB
 
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In this project, see how to use a Heart and Brain SpikerShield Bundle along with a TFT Touch Shield and an Arduino® to build a heart rate monitor. MATLAB®, Simulink®, and Fixed-Point Designer™ are used to show how you can implement filtering and heart rate detector algorithms on Arduino boards. Download the demo files used in this video: https://bit.ly/2q1xwtB Get Started with Arduino and Simulink: https://bit.ly/2uBY60Y The workflow featured follows these steps: 1. Test the algorithm in MATLAB using test data 2. Test the algorithm on the Arduino using Simulink 3. Embed the algorithm onto the Arduino 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 Learn more about Powertrain Blockset: https://goo.gl/ssotUh See What's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2018 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 maybe trademarks or registered trademarks of their respective holders.
Views: 2132 MATLAB
MATLAB Apps with ROS - MATLAB and Simulink Robotics Arena
 
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Sebastian Castro and Cameron Stabile discuss how MATLAB® and Robotics System Toolbox™ can help you develop interactive apps that communicate with robots and simulators running the Robot Operating System (ROS). First, Sebastian and Cameron manually control a ROS enabled robot, set parameters, and visualize sensor data in a MATLAB app built with App Designer. Then, they integrate a ROS enabled Simulink® model that performs autonomous waypoint navigation and obstacle avoidance. This model can be run in MATLAB along with the app, or deployed as a standalone ROS node using automatic C/C++ code generation. For more information, check out the following resources: Download the app from the MATLAB Central File Exchange: http://bit.ly/2HTB9HY Learn more about App Designer: http://bit.ly/2LViyxE Learn more about MATLAB, Simulink, and ROS: http://bit.ly/2HW91nE 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 © 2018 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 maybe trademarks or registered trademarks of their respective holders.
Views: 1513 MATLAB
How to install matlab 2013a in windows 10
 
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Facebook Page Link : https://www.facebook.com/dreamplatformchannel/?modal=admin_todo_tour https://bulkbytes.blogspot.in/2017/10/matlab-2013a-with-serial-key-full.html Before You Install Step 1: Start the Installer Step 2: Select Use a File Installation Key Step 3: Review the Software License Agreement Step 4: Specify the File Installation Key Step 5: Specify the Installation Folder Step 6: Select the License Manager for Installation Step 7: Specify the Location of the License File Step 8: Configure the License Manager: Windows Systems Only Step 9: Confirm Your Choices Step 10: Complete the Installation
Views: 106551 Dream Platform
Battery Management System Development in Simulink
 
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Battery management systems balance the state of charge of individual cells and ensure the proper charging, discharging, and safe operation of rechargeable battery packs. Simulink® is used to create a model of a three-cell battery pack that is charged using a constant-current constant-voltage (CCCV) profile, and simultaneously equalizes the state of charge of the cells using on-charge passive balancing. The balancing logic is designed in Stateflow®, and it is ready for automatic C-code generation for hardware implementation. More free Modeling Battery Management Systems Resources: http://bit.ly/2I8WQou 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 © 2018 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 maybe trademarks or registered trademarks of their respective holders.
Views: 1584 MATLAB
5G Library - Free Add-On for LTE System Toolbox - MATLAB and Simulink Video
 
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The 5G library is a free, downloadable add-on for LTE System Toolbox™. It enables you to explore the behavior and performance of 5G radio access technologies as defined by the Release 15 3GPP NR standard V15.0. Using this library, you can simulate the following aspects of 5G: • 5G NR PDSCH Transport Channel including LDPC channel coding • 5G NR Polar Coding including CRC-Aided Polar (CA-Polar) coding for control and broadcast channels • TR 38.901 Propagation Channels including Tapped delay line (TDL) channel model and Clustered delay line (CDL) channel model • Physical Channels and Signals Generation including PDSCH slot and mini-slot allocations and DM-RS and Configurable SS burst set (PSS/SSS/PBCH/PBCH DM-RS) The 5G library for LTE System Toolbox includes the following reference examples: • 3GPP 5G NR PDSCH Throughput Simulation • 5G Polar Coding • 5G Waveform Spectral Analysis 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 © 2018 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 maybe trademarks or registered trademarks of their respective holders.
Views: 629 MATLAB
Simulink Product
 
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Views: 63 TeraSoftTW
Introduction to Simulink
 
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Next Lecture-2: Creating a simulink Model https://youtu.be/ghZEBfXmsws After watching this video you will get familiar with the environment and capabilities of Simulink.
Views: 1218 RK THENUA
Understanding Control Systems, Part 5: Simulating Robustness to System Variations in Simulink
 
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This demonstration uses a car to show how you can use Simulink® to simulate robustness to system variations. Download the Simulink Models used in this video: https://goo.gl/XSVvJx Watch other MATLAB Tech Talks: https://goo.gl/jD0uOH Get a free Product Trial: https://goo.gl/C2Y9A5 The video models and simulates the car with variations such as different number of passengers. The goal is to maintain the speed of the car at a certain value. The video shows that system variations affect open-loop system behavior and open-loop control needs calibration each time system parameters vary. You will see how feedback control deals with system variations such as different number of passengers.
Views: 10011 MATLAB
Matlab Video Tutorial:  Multiplying Matrices and Vectors
 
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http://www.FreedomUniversity.TV. A series of tutorial videos and examples on using matlab to solve problems. For questions, please contact Professor Santiago at [email protected] or visit the above website.
Views: 65995 John Santiago
Release 2016a Highlights
 
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Download the free white paper “MATLAB and Simulink Version Upgrades for Large Organizations: https://goo.gl/VYD7BB Release 2016a includes new releases of MATLAB® and Simulink® as well as updates and bug fixes to all other products. R2016a includes updates to MATLAB, Simulink, and 83 other products. There are many new features in the MATLAB product family. The Live Editor provides a new way to create and run MATLAB programs. Your live scripts can be shared as interactive documents. App Designer allows you to design and program interactive applications. You can visualize data and equations with new plotting functions, and pause your running MATLAB programs. New toolbox functionality lets you use deep learning for image classification, and optimize trading performance through transaction cost analysis. Updates to apps include: The training of multiple classification models, improved interactive tuning of SISO controllers, model-order reduction, and optical character recognition training. There is also new hardware support for Kinect version 2 and USB3 Vision. Enhancements to the Simulink product family include: A new start page and automatic solver to set up and simulate your models faster, simulation of systems that target heterogeneous embedded devices, the ability to visualize and check units more easily, and new blocks for defining and propagating variants and visualizing flight conditions. Use the new discrete-event simulation engine and block library to dynamically schedule your embedded software. You can also perform sensitivity analysis of Simulink models, and use three-way merge to resolve conflicts between model revisions. In addition, the Simscape product family has advanced its equation reduction and simulation technology, enabled run-time parameter tuning in generated code, and added a new thermal liquid library. There are feature enhancements and two new products that can help you with wireless and audio system design. You can also take advantage of code generation and verification improvements including new medical standards support in the IEC Certification Kit. Explore the new capabilities in R2016a, and download the latest versions of your products now.
Views: 29843 MATLAB
Structural and Thermal Analysis with MATLAB
 
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Learn how to perform structural and thermal analysis using the finite element method in MATLAB. Using a few lines of code you can analyze how mechanical components behave under loading, vibration and other physical effects including solving linear static, modal and transient analysis problems. You will learn how MATLAB can be used to create and share custom Apps which use finite element analysis and how to perform parameter sweeps by running multiple models in parallel. This webinar will demonstrate the workflow for 3D thermal and structural mechanics including: • Importing geometry from STL • Meshing the geometry • Applying material properties, boundary and Initial conditions • Solving and Visualizing the results • Leveraging other MATLAB products for parallelization and deployment 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 © 2018 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 maybe trademarks or registered trademarks of their respective holders.
Views: 1035 MATLAB
Understanding Kalman Filters, Part 6: How to Use a Kalman Filter in Simulink
 
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This video demonstrates how you can estimate the angular position of a simple pendulum system using a Kalman filter in Simulink. Design and use Kalman filters in MATLAB and Simulink: https://goo.gl/SVA9IK Controls Tech Talks GitHub Repository: https://goo.gl/XSVvJx Watch other MATLAB Tech Talks: https://goo.gl/jD0uOH Get a free Product Trial: https://goo.gl/C2Y9A5 Using MATLAB and Simulink, you can implement linear time-invariant or time-varying Kalman filters. In this video, a simple pendulum system is modeled in Simulink using Simscape Multibody™. The angular position of the pendulum is estimated using the Kalman filter block that is available in Control System Toolbox™. The video shows how to configure Kalman filter block parameters such as the system model, initial state estimates, and noise characteristics.
Views: 19406 MATLAB
CAN Communication with Your ECUs and the Vehicle Network Toolbox - MATLAB and Simulink Racing Lounge
 
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Get a Free Trial: https://goo.gl/C2Y9A5 Get Pricing Info: https://goo.gl/kDvGHt Ready to Buy: https://goo.gl/vsIeA5 To interface directly with the vehicle and access vehicle operations, Christoph Hahn and software developer Jaremy Pyle, of MathWorks, introduce the Vehicle Network Toolbox™ and demonstrate how it provides connectivity from Controller Area Networks to MATLAB® and Simulink®. In-vehicle networks are the backbone of the electronic operations of a car. A vehicle is essentially a distributed embedded system. The Controller Area Network (CAN) is the most common protocol within this system. The Vehicle Network Toolbox provides a direct connection from the CAN networks to MATLAB and Simulink, enabling you to inspect, test, and validate the operation of a vehicle before an actual dynamic event. From MATLAB or Simulink, you can monitor, filter, and analyze live CAN bus data or log and record CAN messages for later analysis and replay. In a software demonstration, Jaremy uses the Vehicle Network Toolbox to send CAN data from MATLAB into a Simulink model and then return that data in a more visual format. These tools assist greatly during the initial development to virtually prove out concepts, set up test environments and easily change from the virtual environment to a real device. This simplifies the process of iterating as you switch from vehicle to simulation. The Vehicle Network Toolbox is a very useful tool since it provides a single environment for all CAN network interfaces. A great place to start is by accessing the documentation which provides explanations and examples of functions.
Views: 6559 MATLAB
A Guided Workflow for Zynq Using MATLAB and Simulink
 
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Download a trial: https://goo.gl/PSa78r See what's new in the latest release of MATLAB and Simulink: https://goo.gl/3MdQK1 With the introduction of the Zynq-7000 All-Programmable System on Chip (AP SoC), which includes FPGA fabric and ARM microcontroller cores on a single chip, Xilinx has created a platform that can enable high-performance systems, but requires engineers to engage in both software and hardware development processes to yield the best Zynq system performance. In this webinar, we demonstrate a new guided workflow for Zynq using MATLAB and Simulink. We explore Model-Based Design and show how this methodology can be used to speed up your system development process. We then apply a Model-Based Design approach to application development on the Xilinx Zynq-7000 SoC, highlighting automatic HDL code generation for the FPGA fabric on Zynq and automatic C-Code generation for the ARM MCU, along with automatic generation of the required interface logic and software between the FPGA and ARM. Who should view the presentation: FPGA designers, embedded systems developers, and systems engineers who are evaluating the Xilinx Zynq SoC for an upcoming design. Highlights: Integrated Hardware / Software workflow for Zynq Automatic HDL Code generation Automatic C Code generation Automatic interface logic and code generation
Views: 1811 MATLAB
Programming the SparkFun Redbot with Mathworks and SImulink
 
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Student version of MatLab: http://www.mathworks.com/academia/student_version/index.html?s_tid=acmain_sv_cta1&s_eid=PRP_5806 SimuLink and Arduino Getting Started Guide: http://makerzone.mathworks.com/resources/install-support-for-arduino/?s_eid=PRP_5807 RedBot SimuLink Library: http://www.mathworks.com/matlabcentral/fileexchange/43855 RedBot Tutorial: https://learn.sparkfun.com/tutorials/getting-started-with-the-redbot RedBot Kit: https://www.sparkfun.com/products/12032 Tags: HowTo Talent: Toni Klopfenstein
Views: 9061 SparkFun Electronics
MATLAB for Data Analytics
 
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Get an overview of using MATLAB® to develop your data analytics applications. With MATLAB, you can access and analyze your data from a wide variety of sources, and you can scale to clusters, clouds, and big data platforms like Hadoop® and Spark®. Learn more about Data Analytics: http://bit.ly/2Knyec4 Learn more about Machine Learning: http://bit.ly/2O9Sujp MATLAB enables engineers and domain experts to develop their own data analytics applications. Easy-to-use functions and interactive apps help you design accurate predictive models quickly. You can then deploy them to both enterprise and embedded systems. There’s only one algorithm to develop and maintain – where you run it is up to you. 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 © 2018 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 maybe trademarks or registered trademarks of their respective holders.
Views: 646 MATLAB
MATLAB Anytime, Anywhere
 
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Learn about the MATLAB® family of products and their interaction, from MATLAB Online™ to MATLAB Mobile™. MATLAB Mobile: http://bit.ly/2Jrd8hq MATLAB Online: http://bit.ly/2JnKKwr MATLAB Drive™ is online storage on the cloud that allows you to sync your work from one device to another so you can access your files from anywhere. For example, you can edit the same file in Desktop MATLAB and MATLAB Online, then run it from MATLAB Mobile. MATLAB Online is a MathWorks hosted MATLAB running on the cloud that you can use from any device, without needing to install MATLAB. You can use online sharing to share content, such as live scripts, with others. You can bring your concepts to life using live scripts, which allow you to combine text, equations, images, and code examples in a single document. MATLAB Mobile allows you to use MATLAB from anywhere, including on the go. You can perform computations, run scripts, and view plots from any device, including your phone. You can also collect sensor data from your device, such as acceleration, orientation, and position data, and then import that data into MATLAB. Install MATLAB Mobile today or begin using MATLAB Online to try these features yourself. 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 © 2018 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 maybe trademarks or registered trademarks of their respective holders.
Views: 1943 MATLAB
Using Simscape Power Systems to Simulate Microgrids - Microgrid Development and Analysis, Part 3
 
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In this third video on microgrids, the modeling and simulation of power systems in MATLAB® and Simulink® is introduced with Simscape Power Systems™. See how Simscape Power Systems can be used to schematically represent a one-line microgrid diagram using blocks that represent different distributed energy resources (DERs). The DERs in this example include renewables, such as solar, a diesel GenSet, and an energy storage system (ESS). Using the simple microgrid that is built in this video, you see how desktop simulation can be used to subject the distribution system with residential load changes or unintentional islanding of the microgrid. Load flow analysis in Simscape Power Systems is also introduced. Since microgrid systems commonly have inverter-based controls for solar and ESS, different levels of simulation fidelity can be useful to study the microgrid operation. Simscape Power Systems can be used to simulate Phasor or Electromagnetic Transients (EMT). Depending on the requirements of the simulation study, Phasor, EMT, or a combination of both can be used. An example of a segmented IEEE 123 node network is introduced that illustrates a hybrid Phasor-EMT simulation. In addition to desktop simulation for analysis, you learn how the same desktop simulations can be transferred to a real-time platform for hardware-in-the-loop simulation. This example uses Simulink Real-Time™ and a Speedgoat real-time machine. The Simscape Power Systems model is converted to a C-code representation and then compiled for use on the real-time operating system. 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 Learn more about Powertrain Blockset: https://goo.gl/ssotUh See What's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2018 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 maybe trademarks or registered trademarks of their respective holders.
Views: 1597 MATLAB
The Complete MATLAB Course: Beginner to Advanced!
 
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Get The Complete MATLAB Course Bundle for 1 on 1 help! https://josephdelgadillo.com/product/matlab-course-bundle/ Get the courses directly on Udemy! Go From Beginner to Pro with MATLAB! http://bit.ly/2v1e0lL Machine Learn Fundamentals with MATLAB! http://bit.ly/2v3sQs6 The Ultimate Guide for MATLAB App Development! http://bit.ly/2GOodDN MATLAB for Programming and Data Analysis! http://bit.ly/2IIwpWL Enroll in the FREE Teachable course! http://jtdigital.teachable.com/p/matlab Time Stamps 00:51 What is Matlab, how to download Matlab, and where to find help 07:52 Introduction to the Matlab basic syntax, command window, and working directory 18:35 Basic matrix arithmetic in Matlab including an overview of different operators 27:30 Learn the built in functions and constants and how to write your own functions 42:20 Solving linear equations using Matlab 53:33 For loops, while loops, and if statements 1:09:15 Exploring different types of data 1:20:27 Plotting data using the Fibonacci Sequence 1:30:45 Plots useful for data analysis 1:38:49 How to load and save data 1:46:46 Subplots, 3D plots, and labeling plots 1:55:35 Sound is a wave of air particles 2:05:33 Reversing a signal 2:12:57 The Fourier transform lets you view the frequency components of a signal 2:27:25 Fourier transform of a sine wave 2:35:14 Applying a low-pass filter to an audio stream 2:43:50 To store images in a computer you must sample the resolution 2:50:13 Basic image manipulation including how to flip images 2:57:29 Convolution allows you to blur an image 3:02:51 A Gaussian filter allows you reduce image noise and detail 3:08:55 Blur and edge detection using the Gaussian filter 3:16:39 Introduction to Matlab & probability 3:19:47 Measuring probability 3:26:53 Generating random values 3:35:40 Birthday paradox 3:43:25 Continuous variables 3:48:00 Mean and variance 3:55:24 Gaussian (normal) distribution 4:03:21 Test for normality 4:10:32 2 sample tests 4:16:28 Multivariate Gaussian
Views: 772359 Joseph Delgadillo
Code Generation Improvements for Vision and ADAS - Coder Summit 2018
 
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MathWorks coder products for MATLAB®, Simulink®, and Stateflow® share a common coder engine that is increasingly optimized for design patterns used by engineers in computer vision and automated driving/ADAS applications. Learn more about embedded system solutions: https://goo.gl/kCqw3F Using a series of code differences, you can observe dramatic improvements in C code generated from MATLAB Coder™, Simulink Coder™, and Embedded Coder® involving large matrix constants, loop invariant code, variable size matrices, and single iterations. Learn more about Embedded Coder: https://goo.gl/4uLCr2 This presentation is from Coder Summit Talks, which are live recordings of developers and engineers debuting their best MATLAB and Simulink coder optimizations and examples at an annual technical interchange. Try the Production Code Generation Evaluation Kit: https://goo.gl/pC8zgk © 2018 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 maybe trademarks or registered trademarks of their respective holders.
Views: 947 MATLAB
MATLAB Tutorial 2 - Creating Matrices and Matrix Math
 
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An introduction to creating matrices in MATLAB scripts, matrix multiplication, element-by-element multiplication, and an example!
Getting started with Simulink Coder Support Package for BBC microbit, Part 3
 
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This video shows you how to create a Simulink model that reacts on the accelerometer data to display different patterns on the 5x5 LED matrix present on the BBC micro:bit board. You will learn how to visualize signals and tune parameters while the model is running in real-time on the hardware. Download the Simulink Coder Support Package for BBC micro:bit Board: http://bit.ly/2wd7Y21 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 © 2018 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 maybe trademarks or registered trademarks of their respective holders.
Views: 524 MATLAB
Desktop to Real-Time Testing with EMS Hardware - Microgrid System Development and Analysis, Part 2
 
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In the second video on microgrid systems, you explore different concepts required to design control strategies for distributed power systems. The focus is to introduce a microgrid example with a utility-scale energy storage system (ESS). This ESS provides peak shaving for the local microgrid and can be used to support the microgrid when islanded. Both a desktop simulation and a Speedgoat hardware-in-the-loop simulation with an Allen-Bradley PLC are used to test and validate the supervisory microgrid control strategy prior to grid integration. Large-scale distributed power systems typically adhere to IEEE 1676, which introduced the concept of power system building blocks. Rather than a single controller regulating all individual signals, the control architecture is hierarchically divided into distinct control strategies, such as converter control, switching control, and application control. In other words, the power system building blocks can be separated as individual units with low-level controls and overall supervisory controls. The supervisory control system for a microgrid is known as the microgrid controller. Low-level control strategies focus on switched-mode control and converter control. At this level of control, power system control focuses on voltage and frequency regulation or tasks like reactive power control. Supervisory- or application-level control focuses more on the coordination of the low-level distributed energy resources (DERs). Tasks can include microgrid islanding, black starting the grid, or participating in energy markets. As a result of the layers of control tasks, the microgrid controller must be tested and validated over a range of operating conditions to adhere to new standards such as IEEE 1547. Real-time simulation and HIL are increasingly used to perform such validation tasks. 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 Learn more about Powertrain Blockset: https://goo.gl/ssotUh See What's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2018 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 maybe trademarks or registered trademarks of their respective holders.
Views: 1149 MATLAB
ATRIAS Robot: Walking with MATLAB Simulation and Control
 
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Robot control was implemented using Simulink Real-Time, a Mathworks product. Same MATLAB code was used to control both the simulator and ATRIAS. Collaborating ATRIAS Investigators: Dr. Jonathan Hurst, Oregon State University Dr. Hartmut Geyer, Carnegie Mellon University Dr. Jessy Grizzle, University of Michigan ATRIAS is on Twitter: @ATRIASrobot twitter.com/ATRIASrobot Dynamic Robotics Laboratory: http://mime.oregonstate.edu/research/drl/ School of Mechanical, Industrial and Manufacturing Engineering Oregon State University Principal Investigator: Dr. Jonathan Hurst Funded by the Defense Advanced Research Projects Agency (DARPA), the Human Frontier Science Program (HFSP), and the National Science Foundation (NSF)
How to Make a Matrix in a Loop in MATLAB - MATLAB Tutorial
 
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Learn how you can create a matrix that has an underlying pattern in a for loop using MATLAB, as well as how to use pre-allocation for the same process. Learn more about MATLAB: https://goo.gl/8QV7ZZ See what's new in the latest release of MATLAB and Simulink: https://goo.gl/3MdQK Free MATLAB Trial: https://goo.gl/yXuXnS
Views: 17950 MATLAB
Understanding PID Control, Part 1: What is PID Control?
 
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Explore the fundamentals behind PID control. Chances are you’ve interacted with something that uses a form of this control law, even if you weren’t aware of it. That’s why it is worth learning a bit more about what this control law is, and how it helps. PID is just one form of feedback controller. It is the simplest type of controller that still uses the past, present, and future error, and it’s these primary features that you need to satisfy most control problems. That is why PID is the most prevalent form of feedback control across a wide range of physical applications. However, often when learning something new in control theory, it’s easy to get bogged down in the detailed mathematics of the problem. So, this video skips most of the math and instead focuses on building a solid foundation. Watch more MATLAB Tech Talks: http://bit.ly/2rTc8Yp Check out more control system lectures on Brian's Channel: http://bit.ly/2IUlvkw Get a free MATLAB 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 © 2018 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 maybe trademarks or registered trademarks of their respective holders.
Views: 15633 MATLAB
Image Processing Made Easy - MATLAB Video
 
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Explore the fundamentals of image processing with MATLAB. Download Image Processing Resource Kit: https://goo.gl/jHuo2p Get a Free MATLAB Trial: https://goo.gl/C2Y9A5 Ready to Buy: https://goo.gl/vsIeA5 Cameras are everywhere, even in your phone. You might have a new idea for using your camera in an engineering and scientific application, but have no idea where to start. While image processing can seem like a black art, there are a few key workflows to learn that will get you started. In this webinar we explore the fundamentals of image processing using MATLAB. Through several examples we will review typical workflows for: Image enhancement – removing noise and sharpening an image Image segmentation – isolating objects of interest and gathering statistics Image registration – aligning multiple images from different camera sources Previous knowledge of MATLAB is not required. About the Presenter: Andy The' holds a B.S. in Electrical Engineering from Georgia Institute of Technology and a B.A. in Business from Kennesaw State University. Before joining MathWorks, Andy spent 12 years as a field applications engineer focused on embedded processors at Texas Instruments, and 3 years as a product marketing manager for real-time software at IntervalZero.
Views: 230875 MATLAB
"CASIN" a CATIA-MATLAB\SimMechanics Interface by One Click
 
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http://www.saneon.de ByOneClick, you are able to see the part and product information almost instantly in MATLAB® and in Simscape™/SimMechanics™. These data can be modified in CATIA via MATLAB®. Therefore, the basis for a cross-discipline and iterative data exchange is created.... More information on: http://www.saneon.de/cms/index.php/en/component/content/article/123.html
Views: 2287 [email protected]
Introduction to the Live Editor
 
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The Live Editor provides a new way to create, edit, and run MATLAB® code. You can view your results together with the code that produced them. You can add equations, images, hyperlinks, and formatted text to document your analysis. The Live Editor is particularly helpful as a presentation and teaching tool since you can share your code and documents with colleagues and students so that they can replicate and extend your work. This video explores the features of the Live Editor by creating a script to explore exoplanets. 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 © 2018 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 maybe trademarks or registered trademarks of their respective holders.
Views: 368 MATLAB
Understanding Control Systems, Part 4: Simulating Disturbance Rejection in Simulink
 
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This demonstration uses a car to show how you can simulate open- and closed-loop systems in Simulink®. Download the Simulink Models used in this video: https://goo.gl/XSVvJx Watch other MATLAB Tech Talks: https://goo.gl/jD0uOH Get a free Product Trial: https://goo.gl/C2Y9A5 First, you will learn how to model and tune open-loop systems. The goal of the demonstration is to maintain the speed of a car. Then, you’ll explore the behavior of the open-loop system in the presence of a disturbance. To illustrate disturbance rejection, the video shows how to model and simulate a feedback control system . You will gain insight into how feedback control compensates for disturbance. You’ll investigate signals such as error (in this example, the error is the difference between the measured and desired output), actuating signal (here, the actuating signal is the pedal’s position) and system output (in this example, the output is speed).
Views: 20808 MATLAB
ETAS INCA-SIP - Simulink® Integration Package
 
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INCA-SIP provides a one-click connection for INCA directly to Simulink models. This video introduces the main capabilities and demonstrates how to work with the product. Since this video contains large screen recordings, we recommend to select a high resolution (Full Screen) and best video quality (HD). More information on ETAS INCA-SIP: http://www.etas.com/inca_sip
Views: 7093 ETAS
Ground Truth Labeler App
 
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The Ground Truth Labeler app allows you to interactively label videos and images for automotive applications. This video covers three workflows: * Creating ground truth data for object detection and semantic segmentation * Using algorithms to automate the labeling process * Integrating ground truth data from other sensors like LiDAR and radar 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 © 2018 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 maybe trademarks or registered trademarks of their respective holders.
Views: 1568 MATLAB
Matlab Embedded Target C2000 with TMS320F2812 Primer kit
 
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The objective of this blog is to generate the coding and output file for required [TMS320F2812] processor from C2000 generation of Texas Instrument. This blog describes how to use the Embedded Target [TMS320F2812] for TI C2000 to create an application on Texas Instruments DSP development boards. To Download Source Code and Documentation: https://www.pantechsolutions.net/blog/matlab-embedded-target-c2000-with-tms320f2812-primer-kit To purchase the product click the link below: https://www.pantechsolutions.net/dsp-dsc-boards/tms320f2812-dsp-development-board
Views: 6211 pantechsolutions
MATLAB for Deep Learning
 
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Learn how MATLAB® can help with any part of the deep learning workflow: from preprocessing through deployment. This video provides a high-level overview of deep learning with MATLAB. It describes the complete workflow, and it shows how MATLAB can help with deep learning applications at various stages, including importing and preprocessing images, importing pretrained models, training models with GPUs, debugging deep learning results, and deploying deep learning models to hardware including embedded GPUs. Learn more about MATLAB for deep learning: https://bit.ly/2NE1IVU 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 Learn more about Powertrain Blockset: https://goo.gl/ssotUh See What's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2018 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 maybe trademarks or registered trademarks of their respective holders.
Views: 2373 MATLAB
What is Signal Processing Toolbox? - Signal Processing Toolbox Overview
 
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Perform signal processing, analysis, and algorithm development using Signal Processing Toolbox™. Get a free product Trial: http://bit.ly/2Hu0hJg Signal Processing Toolbox™ provides functions and apps to analyze, preprocess, and extract features from uniformly and nonuniformly sampled signals. The toolbox includes tools for filter design and analysis, resampling, smoothing, detrending, and power spectrum estimation. The toolbox also provides functionality for extracting features like changepoints and envelopes, finding peaks and signal patterns, quantifying signal similarities, and performing measurements such as SNR and distortion. You can also perform modal and order analysis of vibration signals. With the Signal Analyzer app you can preprocess and analyze multiple signals simultaneously in time, frequency, and time-frequency domains without writing code; explore long signals; and extract regions of interest. With the Filter Designer app you can design and analyze digital filters by choosing from a variety of algorithms and responses. Both apps generate MATLAB® code. See What's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2018 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 maybe trademarks or registered trademarks of their respective holders.
Views: 1328 MATLAB
Impact Analysis with Simulink Projects
 
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Impact analysis helps you manage large modeling projects and makes it easy to analyze the structure and dependencies in your Simulink® Project. After performing dependency analysis, you can visualize the project content and relationships among all the files in your project. What's new in Simulink: https://goo.gl/eka2HQ Download a Simulink Trial: https://goo.gl/5UiLqp Starting with Release 2018a, impact analysis allows you to identify dependencies at a finer level of granularity, not only at the file level, but also between individual requirements and blocks in your model. With this feature, you can now easily identify impacts of changing a single block or a requirement in your Simulink Project. © 2018 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.
Views: 490 MATLAB
Understanding PID Control, Part 2: Expanding Beyond a Simple Integral
 
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The first video in this series described a PID controller, and it showed how each of the three branches help control your system. That seemed simple enough and appeared to work. However, in practice, an ideal PID controller introduces several problems that you need to protect against when dealing with imperfect systems. This includes saturation, which is a common nonlinear problem found in real-life situations. This video expands beyond a simple integral and outlines several changes that protect your system against integral wind-up. Integral wind-up occurs when the summation within the integral increases beyond the saturation limit of the actuators it’s controlling, causing reduced performance. Watch more MATLAB Tech Talks: http://bit.ly/2rTc8Yp Check out more control system lectures on Brian's Channel: http://bit.ly/2IUlvkw Get a free MATLAB 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 © 2018 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 maybe trademarks or registered trademarks of their respective holders.
Views: 6657 MATLAB