Course Details

Time and Place:

T,R 9:30 AM to 10:50 AM in Cooke 121

Office Hours:

Drop in anytime during my office hours, which are T,R at 4:00-5:00 pm. Otherwise call to make an appointment, or contact me via e-mail:

Office: 1009 Furnas Hall, Office Tel: 645-2593 x2235.

Description:

The topics covered in this course include: Introduction to the identification process; brief review of mathematical topics necessary for the course; Time-domain approach for identification of linear time-invariant systems. This will include continuous and discrete time models, Markov parameters, ARX, ARMA, ARMAX and other models; Frequency domain method; Advanced topics, time permitting.

Objectives:

System Identification is the process of acquiring experimental data and determining a mathematical model to fit the input-output data. This is a very important topic in the field of controller design since, most practical systems such as industrial processes can seldom be modeled well to account for parametric uncertainties and effects of the environment. It thus becomes imperative to identify a dynamic model from input-output data for controller design. The objective of this course is to introduce graduate students to the numerous tools available for the identification of dynamic systems. The toolbox includes time-domain and frequency domain techniques for the identification of linear time-invariant systems. Techniques to identify nonlinear systems will also be discussed. Time permitting tools such as Neural Nets and Fuzzy logic approaches to identifying models will be discussed. Undergraduate control and Linear system analysis background or permission of instructor is the prerequisite for this course.

Prerequisites:

SYS571/Permission of Instructor.

Textbook:

Juang, Jer-Nan, Appled System Identification , Prentice Hall PTR, Englewood Cliffs, New Jersey 07632, 1994. There will be occasional handouts to supplement the textbook.

Homework:

Homeworks will be periodically assigned, which are due one week from the day they are assigned. Late homeworks will not be accepted and solutions to the homeworks will be discussed in class.

Project:

The student selects a project topic by the end of the fourth week in consultation with the instructor. The problem could be related to the student's thesis/dissertation topic. A final project report at the end of the term is also required which will include a detailed literature review of Identification techniques attempted on the problem in question.

References:

Ljung, Lennart, System Identification: Theory for the User , Prentice Hall PTR, Englewood Cliffs, NJ, 1987.
Ljung, L., and Glad, T., Modeling of Dynamic Systems , Prentice Hall PTR, Englewood Cliffs, NJ, 1994.
Johansson, Rolf, System Modeling and Identification , Prentice Hall, Englewood Cliffs, NJ, 1993.
AIAA Journal of Guidance, Control and Dynamics
ASME Journal for Dynamic Systems, Measurement and Control
International Journal of Control

Important Dates