Description
Applied Control Systems for Engineers 1 – autonomous vehicle is a training course on modeling, state-space and PID systems, predictive models and Python. The world is changing and so is technology. The rise and rise of automation in our societies is spreading faster than anyone could have predicted. The coating of technological progress is also autonomy in devices. In this course, you will learn about one of the most powerful technologies available, which allows you to control devices accurately and reliably. You will learn the fundamentals of logic modeling, PID, and MPC, which will allow you to apply them to other systems you may encounter in the future. You need three things to solve engineering problems: insight, math and coding, you can’t pick and choose between them, you really need them all.
What you will learn in the Applied Control Systems for Engineers 1 – autonomous vehicle course:
- Mathematical modeling of systems
- Redesigning models for state-space equations
- Using a PID controller for systems (simple magnetic train catching objects)
- Using predictive models for devices
Course details
Publisher: Udemy
Instructors: Mark Misin
English language
Education level: Introductory
Number of courses: 150
Duration: 18 hours and 59 minutes
The headings of the Applied Control Systems for Engineers autonomous vehicle 2021-4 course:
Course prerequisites:
Basic Calculus: Functions, Derivatives, Integrals
Vector-Matrix multiplication
Pictures
Sample video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
Password file(s): www.downloadly.ir
Size
4.6 GB
Be the first to comment