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Applied Control Systems for Engineers 1 – autonomous vehicle

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Applied Control Systems for Engineers 1 - autonomous vehicle

Applied Control Systems for Engineers 1 – autonomous vehicle Free Download. Modelling + state-space systems + PID + Model Predictive Control + Python simulation: autonomous vehicle lateral control

Applied Control Systems for Engineers 1 – autonomous vehicle Description

The world is changing! The technology is changing! The advent of automation in our societies is spreading faster than anyone could have anticipated. At the forefront of our technological progress is autonomy in systems.

Welcome! In this course, you will be exposed to one of the most POWERFUL techniques there are, that are able to guide and control systems precisely and reliably.

Requirements

  • Basic Calculus: Functions, Derivatives, Integrals
  • Vector-Matrix multiplication

An Entire MBA in 1 CourseAward Winning Business School Prof

What you’ll learn

  • mathematical modelling of systems
  • reformulating models into state-space equations
  • applying a PID controller to systems (simple magnetic train catching objects)
  • applying Model Predictive Control (MPC) to systems (autonomous car: lane changing maneuvers)

Who this course is for:

  • Science and Engineering students
  • Working Scientists and Engineers
  • Control Engineering enthusiasts

Applied Control Systems for Engineers 1 – autonomous vehicle Free Download

GoogleDrive

HOW TO DOWNLOAD COURSE

Content From: https://www.udemy.com/course/applied-systems-control-for-engineers-modelling-pid-mpc/

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