Applied Control Systems 2: autonomous cars (360 tracking)
system modeling + state space systems + Model Predictive Control + MPC constraints + Python simulation: autonomous cars
4.60 (135 reviews)
4,074
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13.5 hours
content
May 2024
last update
$84.99
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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
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4095944
udemy ID
6/2/2021
course created date
10/23/2021
course indexed date
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