Applied Control Systems 1: autonomous cars: Math + PID + MPC
Original price was: $109.99.$18.99Current price is: $18.99.
What you’ll learn
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mathematical modelling of systems
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reformulating models into state-space equations
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applying a PID controller to systems (simple magnetic train catching objects)
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applying Model Predictive Control (MPC) to systems (autonomous car: lane changing maneuvers)
The world is changing! The technology is changing! The advent of automation in our societies is spreading faster than anyone could have anticipated. At the forefront of our technological progress is autonomy in systems. Self driving cars and other autonomous vehicles are likely to be part of our every day lives. How would you like to understand and be able design these autonomous vehicles? How would you like to understand Mathematics behind it?
Welcome! In this course, you will be exposed to one of the most POWERFUL techniques there are, that are able to guide and control systems precisely and reliably.
You are going to DESIGN, MASTER and APPLY:
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mathematical models in the form of state-space systems and equations of motion
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a PID controller to a simple magnetic train that needs to catch objects that randomly fall from the sky
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a Model Predictive Controller (MPC) to an autonomous car in a simple lane changing maneuver on a straight road at a constant forward speed.
You will LEARN the fundamentals and the logic of Modelling, PID and MPC that will allow you to apply it to other systems you might encounter in the future.
You need 3 things when solving an Engineering problem: INTUITION, MATHEMATICS, CODING! You can’t choose – you really need them all. After this course, you will master Modelling, PID and MPC in all these 3 ways. That’s a promise!
I’m very excited to have you in my course and I can’t wait to teach you what I know.
Let’s get started!
Who this course is for:
- Science and Engineering students
- Working Scientists and Engineers
- Control Engineering enthusiasts
12 reviews for Applied Control Systems 1: autonomous cars: Math + PID + MPC
Add a review
Original price was: $109.99.$18.99Current price is: $18.99.
Mizan –
This course gives a very good perspective of how should you learn and implement math functions with respect to real life situations. you definitely have to re-watch this course to receive its complete value.
Daniel Santana Ribeiro Martins –
I went straight to the car modeling and MPC classes. I’ve already studied signals and systems theory, classical control theory/PID and Digital/Modern Control and it helped me to understand the logic behind the MPC algorithm, but a lot of that is thanks to Mark! He made it look easy. He explains everything he puts on the board, he never misses! Everything is on point. That minimal cost function derivation was insane! 😀 Thank you Mark for sharing your knowledge! See you soon o/
Vaibhav Bisht –
Good to see such emphasis on modeling and state space equations.
Would have appreciated if we had more on SISO and MIMO systems.
Siddhesh Sawant –
A course that explains Mathematics, Physics and Coding of Control Architecture for popular/ widespread robotics problems. Surely a good handson for anyone aiming at being a Control Software Developer for Motion Controllers of Robots, Drones & other Autonomous vehicles.
Adarsh –
This guy is genius ! One best thing about Mark is that he answers (with detailed explanation) every questions within few hours.5 ? is less for this course !
Andrew Zulu –
The keyword is “intuition”! This is what Mark gives you as you go thru the material of this course. I used to barely understand model predictive control but after taking this course, I was set on solid ground. A truly 5/5 course!!
Antonio Paucar Quispe –
Great content with detailed explanation. I am happy to have enrolled in this course.
Pranav M Kulkarni –
Amazing course… Thank you 🙂
Chris Bronnenberg –
Love the course so far. Very thorough coverage. PID is a review for me, but MPC will be new and I’m excited to see it. Over 20 years since my controls class!
Nana Kwame Kankam –
So far so good. However, I have suggestion. I think it will be better to make a video of you coding the algorithms from scratch and explaining as you do so, rather than coding and explaining afterwards. I think this is better to build intuition and much more productive for learning the coding side of things. It also takes us into the mind of a controls engineer and what we have to be thinking about while coding our models in the future, again which is better for intuition.
Tarashankar Bandyopadhyay –
Extremely good and detailed explanation.
Hussein Alawsi –
I would love if we could write the code together So we could gain more knowledge