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Applied Control Systems for Engineers 2 – UAV drone control is a training course in modeling, state-space systems, predictive models, feedback control and Python. One of the biggest changes we will face in the next few decades will be the emergence of UAV autonomy. While drones are still widely used, their use will grow over time. UAVs are used in delivery services, entertainment, medicine, military, rescue, quality monitoring in places that humans can not easily access, and many other areas.

What you will learn in Applied Control Systems for Engineers 2 – UAV drone control:

  • Mathematical modeling of a quadcopter remote control
  • Acquisition of kinematic equation: rotation and displacement matrices
  • Learn the Newton-Euler 6 DOF dynamic equation for moving with a rotating frame
  • Understanding the effect of gyroscope and its application in UAV model
  • Understand the creator of Runge-Kutta and apply it to the UAV model
  • Acquire skills and apply forecast control models in UAV
  • Gain skills and use linear feedback controller for UAV
  • Combining MPC and feedback linearization in one global controller

Course specifications

Publisher: Udemy
Instructors:  Mark Misin
Language: English
Education Level: Medium
Number of Courses: 221
Duration: 25 hours and 7 minutes

Course Topics Applied Control Systems for Engineers – UAV drone control 2021-3:

Applied Control Systems for Engineers 2 - UAV drone control Contents

Prerequisites course:

Basic Calculus: Functions, Derivatives, Integrals
Vector-Matrix multiplication
Udemy course: Applied Control Systems for Engineers 1 – autonomous vehicle


Applied Control Systems for Engineers 2 - UAV drone control

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Download Part 3 – 2 GB

Download Part 4 – 2 GB

Download Part 5 – 531 MB

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