system modeling + state space systems + Model Predictive Control + MPC constraints + Python simulation: autonomous cars

revision of Model Predictive Control for Linear 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

Basic Calculus: Functions, Derivatives, Integrals

Vector-Matrix multiplication

Udemy course: Applied Control Systems 1: autonomous cars (Math + PID + MPC)

My name is Mark. I'm an Aerospace & Robotics Eeer and in this course, I will give you intuition, Mathematics and Python implementation for all that.

This course is a direct continuation to the course "Applied Control Systems 1: autonomous cars: Math + PID + MPC. In the previous course, the Model Predictive Control (MPC) algorithm only allowed the autonomous cars to change lanes on a straight road. We applied a small angle approximation to convert our nonlinear model to linear invariant (LTI). It made our lives easier but it also restricted our Model Predictive Control algorithm.

In this course however, we will remove that simplification and I will show you how you can apply a linear MPC controller to a nonlinear system by putting it in a Linear Parameter Varying form first. With this highly popular technique, your car will be able to track a general 2D trajectory.

In addition, you will learn how to use quadratic solvers such as qpsolvers & quadprog to apply MPC constraints to autonomous cars. In most control problems, you have to consider constraints in order to keep your system within reasonable values.

The knowledge that you get from this course is universal and can be applied to so many systems in control systems eeering.

Take a look at some of my free preview videos and if you like what you see, then ENROLL NOW, and let's get started.

Hope to see you inside!

Science and Eeering students

Working Scientists and Eeers

Control Eeering enthusiasts




DOWNLOAD
uploadgig.com


rapidgator.net


nitro.download