Modern control and state space representation

Dynamic systems modeling and controlling by state space representation

Ratings 4.08 / 5.00
Modern control and state space representation

What You Will Learn!

  • State space representation
  • State feedback
  • Controllability and observability
  • Output feedback
  • Some concepts about eigenvalues and eigenvectors

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 Should Attend!

  • Mechatronics students
  • Control engineers

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Tags

  • Control Engineering

Subscribers

1042

Lectures

15

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