Home IoT & Hardware Autonomous Robots: Model Predictive Control [Video]

Autonomous Robots: Model Predictive Control [Video]

By Daniel Stang
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BUY NOW $10 p/m for first 3 months. $15.99 p/m after that. Cancel Anytime!
Video $99.99
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This book & 7000+ ebooks & video courses on 1000+ technologies
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50+ new titles added every month on new and emerging tech
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Customised display settings for better reading experience
50+ new titles added every month on new and emerging tech
Playlists, Notes and Bookmarks to easily manage your learning
Mobile App with offline access
What do you get with eBook?
Download this book in EPUB and PDF formats
Access this title in our online reader
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Get a paperback copy of the book delivered to your specified Address*
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What do you get with Audiobook?
Download a zip folder consisting of audio files (in MP3 Format) along with supplementary PDF
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Flashcards, Mock exams, Exam Tips, Practice Questions
Access these resources with our interactive certification platform
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  1. Free Chapter
    Introduction
About this video
This course takes a practical, hands-on approach to teach you all about Model Predictive Control. MPC is crucial for solving a wide range of robotics as well as non-robotics problems. To enhance your learning experience, the author has created a simulator that will allow you to code an entire Model Predictive Controller and see the results of your work in real time. The objective of this course is to help you implement MPC in code and understand the MPC logic intuitively. All the code and supporting files for this course are available here: https://github.com/PacktPublishing/Autonomous-Robots-Model-Predictive-Control
Publication date:
April 2020
Publisher
Packt
Duration
4 hours 0 minutes
ISBN
9781800560574
GitHub   Download code from GitHub
About the Author
  • Daniel Stang

    Daniel Stang is a robotics software engineer who holds a masters degree in mechanical engineering, which he earned for his research in control system design for automotive applications. In his first job out of school, he was responsible for designing motion controllers and stabilization systems for military tank turrets. Daniel has previously written robotic software for a startup based out of Toronto, Canada, and currently writes software for autonomous vehicles in California.

    Browse publications by this author
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