Power electronics are critical to enabling a range of new and evolving technologies, including electric grids that use renewable energy, electric vehicles for clean transportation, and variable-speed motors for industrial applications.
Learn the different components of a control algorithm required to drive a brushless DC (BLDC) motor and how these components work.
The days when a vehicle or machine required a driver or physical controller are gone—today’s self-driving cars are smart enough to change lanes, allow pedestrians to pass, or even parallel park themselves.
Learn the basics of digital twins and how MATLAB® and Simulink® enable you to create digital twins with toolboxes for your applications like Predictive Maintenance Toolbox™, System Identification Toolbox™, and Simscape™
Do you want to have a solid understanding of how multi-object trackers contribute to the success of autonomous systems and surveillance systems?
What does every AI-powered signal processing application need? A lot of representative signal data, a good network architecture (because signal data works particularly well with deep learning), and the right signal processing tools to turn that data into a source for automated learning.
This ebook shows how you can use MATLAB® to develop a deep learning network to detect and classify different types of anomalies.
If you are interested in using deep learning technology for your project, but you’ve never used it before, where do you begin?
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