This 3-day short course is intended to provide the industrial practitioner with a comprehensive survey of the various methods and procedures for performing system identification in the process industries.
Emphasis is given to identification topics that have the most impact in practice.
The user will get a feeling for the possibilities and limitations of various system identification techniques. The differences between linear and nonlinear system identification will also be addressed. Labs involve simulated plant models and real process data, although students may be able to use some of their own data sets if so desired. These will remain as reference to the course participant for continued study at the conclusion of the course. Signals and Systems Overview Background material on signals and systems concepts which are the key to successful system identification is discussed.