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Course number and title: EE243 Robust and Optimal Control by Convex Methods
Credits: 4
Instructor(s)-in-charge: Not offered in 2011-12
Course type: Lecture
Required or Elective: A Signals and Systems course
Course Schedule:
Lecture: 4 hrs/week.
Outside Study: 8 hrs/week.
 
Course Assessment:
Homework: Several assignments.
Exams: 1 midterm and 1 final examination.
 
Grading Policy: Typically, 50% midterm and 50% final.
Course Prerequisites: EEM240A
Catalog Description: Multivariable robust control, including H2 and H-infinity optimal control and robust performance analysis and synthesis against structured uncertainty. Emphasis on convex methods for analysis and design, in particular linear matrix inquelity (LMI) approach to control.  
Textbook and any related course material:
G. E. Dullerud and F. Paganini, A Course in Robust Control Theory: A Convex Approach, Springer, NY, 2000.
 
Course Website
Topics covered in the course:
Review of matrix algebra, introduction to Linear Matrix Inequalities.
Linear Analysis: norms for signals and systems.
Model Reduction: Hankel operators, balanced truncation.
Parametrization of stabilizing controllers.
H2-optimal control.
H-infinity control, solution by Linear Matrix Inequalities.
Robustness analysis under structured uncertainty.
Will this course involve computer assignments? NO Will this course have TA(s) when it is offered? NO

:: Last modified: September 2011 by C. Chiuco ::

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