Modern control and state space representation
What you'll learn
- State space representation
- State feedback
- Controllability and observability
- Output feedback
- Some concepts about eigenvalues and eigenvectors
Requirements
- Classical control
- Matrices
- Differential equations and laplace transform
Description
This course is for students who completed their classical control course and want to take the next step, The course contains lectures in which the concept is explained and tutorials to solve problems based on the lectures. The course covers
1) modeling of mass spring system
2) transfer functions and laplace transform
3) state space representation
4) CCF & OCF
5) cascade and parallel realization
6) controllability and observability
7) state feedback
8) output feedback
As well as a recap on stability, eigenvalues and eigenvectors.
Who this course is for:
- Mechatronics students
- Control engineers
Instructor
![Hazem ahmed](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 3.7 Instructor Rating
- 21 Reviews
- 2,336 Students
- 6 Courses
My name is Hazem Ahmed, I am from Egypt and I am a mechatronics engineer. I did my bachelor's thesis in autonomous drones specifically in SLAM. I like teaching and helping passionate students who would like to learn more and more, I used to give tutorials in my university as a junior teaching assistant for new comers and I have several courses on Udemy. My field of expertise is Autonomous systems, Control theory, Coding on python and Matlab.