Udemy – Applied Control Systems for Engineers 1 – autonomous vehicle 2020-6
Udemy – Applied Control Systems for Engineers 1 – autonomous vehicle 2020-6 Downloadly IRSpace

Applied Control Systems for Engineers 1 – autonomous vehicle, a course in modeling, state-space and PID systems, predictive model and Python. The world is changing and so is technology. The advent of automation in our societies is faster than anyone might expect. The forerunner of technological progress is also autonomy in devices. In this course, you will get acquainted with one of the most powerful technologies available, which will allow you to control the devices accurately and reliably. You will learn the basics of modeling logic, 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 not choose between them and you need practically all of them.
What you will learn in Applied Control Systems for Engineers 1 – autonomous vehicle:
- Mathematical modeling of systems
- Redesign models for state-space equations
- Using a PID controller for systems (simple magnetic train catching objects)
- Applying predictive models to devices
Course specifications
Publisher: Udemy
Instructors: Mark Misin
Language: English
Level: Introductory
Number of Courses: 150
Duration: 18 hours and 59 minutes
Course Titles Applied Control Systems for Engineers autonomous vehicle 2021-4:
Prerequisites course:
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