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