# State space control seminar

A four-part course in control theory based on the state space modeling paradigm. This course is often taught in conjunction with the Control Theory Fundamentals seminar, forming a comprehensive two-day course in control theory. Section numbering therefore runs from five to eight.

**Agenda**

- Session 1 (Part 5). State space models - Co-ordinate transformations, state space, eigenvalues and eigenvectors
- Session 2 (Part 6). Properties of linear systems - Stability, phase portraits, controllability and observability, modal decomposition
- Session 3 (Part 7). State feedback control - State feedback, pole placement, eigenstructure assignment, integral control
- Session 4 (Part 8). Linear state estimators - Linear state estimation, current estimators, reduced order estimators, separation principle

__Description__

The seminar comprises four sections based on the state space modelling paradigm. After two sections on modelling in state space, several methods of state feedback controller design are explained. The seminar concludes with a section on the design of linear state estimators.

The seminar requires some familiarity with matrix algebra. Students unfamiliar with this topic are advised to read through the summary document available on the downloads page.

The material is supported by many examples and tutorials, and includes a short question and answer session at the end of each section. MATLAB® is used throughout the seminar to introduce new concepts and to illustrate each major topic. A printed copy of the seminar manual containing the presentation material is issued to each attendee at the start of the course.

The content in these videos is directly applicable to real-time control applications that are supported by our C2000™ Microcontrollers. For more information about motor control, please view the Introduction to motors and motor control series.