ECE 6780

ECE 6780

Course information provided by the Courses of Study 2023-2024.

Introduction to multivariable feedback control theory in both time and frequency domain. Topics include model-based control, performance limitations, Linear Quadratic and H-infinity optimal control, control synthesis vis convex optimization, and model predictive control. Additional topics at the discretion of the instructor.

When Offered Spring.

Prerequisites/Corequisites Prerequisite: MAE 4780 or MAE 5780, ECE 6210, or permission of instructor; strong background in classical control, linear algebra, and state space models.

Outcomes
  • Students will be able to learn how to model dynamical systems for multivariable control by case studies.
  • Students will be able to know state-space representation, transfer function matrix and transition matrix approaches.
  • Students will be able to understand optimal control theory via case studies in linear quadratic regulator (LQR) and implicit model following (IMF).
  • Students will be able to learn robust control theory including H-infinity control design.
  • Students will be able to know adaptive control approaches including gain scheduling and model-reference adaptive systems (MRAS).
  • Students will be able to gain a further understanding of modern control approaches including model predictive control (MPC), mu-synthesis, sliding mode control and feedback linearization in an independent project.

View Enrollment Information

Syllabi:
  •   Regular Academic Session.  Combined with: MAE 6780

  • 4 Credits Graded

  • 19732 ECE 6780   LEC 001

    • MWF Phillips Hall 403
    • Jan 22 - May 7, 2024
    • MacMartin, D

  • Instruction Mode: In Person