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Engineers and scientists connect MATLAB and Simulink to FPGAs, microprocessors, cameras, instruments, and other hardware to design, test, and verify systems that combine hardware and software components.
This article describes a workflow for creating a permanent magnet synchronous machine (PMSM) plant model using MATLAB® and Simulink® and commonly available lab equipment.
Using Simulink models and physical structures, Lehigh University researchers test reactions to seismic activity in ships’ hulls, bridge decks, shear walls, and four-story buildings.
Balance speed and accuracy by using Simscape to configure your model for real- time simulation.
MATLAB and Simulink based products give students direct experience in control design, image processing, and other topics.
Johns Hopkins University Applied Physics Laboratory is leading a worldwide team whose mission is to develop a prosthetic that enables the wearer to move with the speed, dexterity, and force of a real arm and perceive pressure, force, & temperature.
Aerospace, automotive, communications, mechatronics and other organizations solve the challenge of verifying and validating embedded systems comprising software and electronics.
Using a thermal model of a house as an example, this article describes a methodology for communicating with other devices via TCP/IP using inexpensive external hardware. The real-time system used is xPC Target.
Case Western Reserve University researchers developed a programmable device that sends electrical signals to an implant that activates paralyzed limbs and muscles.
Engineers used Model-Based Design and rapid prototyping to build and test a controller before the fuel cell plant was available.
Engineers use rapid prototyping to advance cochlear implant technology.
PC-based rapid prototyping within Model-Based Design is widely recognized as a quick, efficient way to test ideas and experimental solutions early in development, when they are easier and less costly to fix.

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