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Applied Control Systems for Engineers 2 - UAV drone control is a 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, entertainment, medical, military, rescue, quality control services in places that humans cannot easily access, and many other fields.
Mathematical modeling of a quadcopter remote control
Acquisition of the 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
Publisher: Udemy Instructors: Mark Misin English language Level of education: Intermediate Number of courses: 221 Duration: 25 hours and 7 minutes
Basic Calculus: Functions, Derivatives, Integrals
Vector-Matrix multiplication
Udemy course: Applied Control Systems for Engineers 1 – autonomous vehicle
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English subtitle
Quality: 720p
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