Course Description
Students will learn how to model various dynamical systems in both the frequency domain and time domain. Students will learn state-space design topics, including controllability, observability, observers, and design of linear state feedback control law. Other topics include linearization, model order reduction, and introduction to optimal control techniques.
Additional Requirements for Graduate Students:
Graduate students will be required to complete an additional project realizing one of the techniques presented in class.
Athena Title
Advanced Control Systems
Prerequisite
ENGR 4220/6220 or ELEE 4220/6220
Semester Course Offered
Offered every year.
Grading System
A - F (Traditional)
Course Objectives
By the end of this course, a successful student will be able to: use frequency and time-domain modeling design techniques as appropriate for various dynamical systems. Successful students will understand the controllability and observability of various dynamical systems and design appropriate linear feedback controllers with the aid of observers (as necessary).
Topical Outline
1. Introduction to control systems, models, and the state-space. 2. Introduction to linear algebra related to state-space realizations. 3. Transfer functions and state-space model realizations using computer technology. 4. State-space realizations and fundamentals. 5. Linearization of nonlinear systems. 6. Modeling of electrical and mechanical systems. 7. Frequency response methods. 8. Controllability. 9. Observability. 10. Minimal realizations. 11. Design of linear state feedback control laws. 12. Observers and observer-based design. 13. Intro to linear quadratic control. 14. Software implementation of feedback control systems (z-domain). 15. Realization of feedback controllers with microprocessors.
Syllabus
Public CV