Modern control and state space representation

Modern control and state space representation

Modern control and state space representation

Dynamic systems modeling and controlling by state space representation

Language: english

Note: 3.8/5 (3 notes) 142 students

Instructor(s): Hazem ahmed

Last update: 2020-06-24

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

 

Course content

  • Introduction
    • Introduction 1
    • Tutorial 1
    • Introduction 2
  • State space
    • State space concept
    • Obtaining state space representation
    • Tutorial 2
    • CCF & OCF
    • Tutorial 3
    • Cascade and parallel realization
    • Tutorial 4
  • Controllability and observability
    • Controllability and observability
  • State and output feedback
    • State feedback
    • State feedback 2
    • Tutorial 5
    • Output feedback

 

Modern control and state space representationModern control and state space representation

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