Applied Control Systems 2: autonomous cars (360 tracking)

system modeling + state space systems + Model Predictive Control + MPC constraints + Python simulation: autonomous cars
4.63 (145 reviews)
Udemy
platform
English
language
Engineering
category
Mark Misin Engineering L
instructor
Applied Control Systems 2: autonomous cars (360 tracking)
4 185
students
13.5 hours
content
May 2024
last update
$84.99
regular price

What you will learn

revision of Model Predictive Control for Linear Time Invariant (LTI) systems

mathematical modeling of an autonomous car on a 2D X-Y plane using the bicycle model

going from the vehicle's equations of motion to its state space form

mastering & applying linear Model Predictive Control (MPC) to a nonlinear system using Linear Parameter Varying (LPV) formulation

mastering & applying Model Predictive Control (MPC) constraints to the autonomous car

simulating the control loop for the autonomous car in Python including the Model Predictive Control (MPC) controller and its constraints

Course Gallery

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Related Topics

4095944
udemy ID
02/06/2021
course created date
23/10/2021
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