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

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

Description

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 can predict. The forerunner of technological progress is 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 the course 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 information

Publisher: Udemy Instructors: Mark Misin English language Level of training: Introductory Number of courses: 150 Duration: 18 hours and 59 minutes

Prerequisite

Basic Calculus: Functions, Derivatives, Integrals

Vector-Matrix multiplication

Installation

After Extract, watch with your favorite Player.

English subtitle

Quality: 720p

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

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