explanation
Applied Control Systems for Engineers 1 – Autonomous vehicles, modeling processes, state space and PID systems, predictive models, and Python. The world is changing and so is technology. The emergence of automation in our society is faster than anyone expected. A leader in technological advancement is also device autonomy. In this course, you will get acquainted with one of the most powerful technologies that allows you to control your devices accurately and reliably. You’ll learn the basics of modeling logic, PID, and MPC so you can apply them to other systems you may encounter in the future. Solving engineering problems requires three things: insight, math, and coding. You can’t choose just one or the other; you need practically all of them.
In Applied Control Systems 1 – Autonomous Vehicles for Engineers, you will learn:
- Mathematical modeling of systems
- Model redesign for state-space equations
- Use of PID controller for system (simple magnetic train to grab object)
- Apply predictive models to devices
Course specifications
Publisher: Udemy
teacher: mark superstition
Language:English
Level: Introductory
Number of courses: 150
Duration: 18 hours 59 minutes
Course Title Applied Control Systems for Autonomous Vehicle Engineers 2021-4:
Prerequisite courses:
Basic Calculus: Functions, Derivatives, Integrals
Vector-Matrix Multiplication
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