C S 513
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Robust Control
Computer Science
College of Computational, Mathematical, & Physical Sciences
Course Description
Introduction to the analysis and design of feedback systems guaranteed to perform well in spite of model uncertainty.
When Taught
Winter
Min
3
Fixed
3
Fixed
3
Fixed
0
Recommended
C S 312 and 412; Math 334; or equivalents
Title
LMIs
Learning Outcome
Understand Linear Matrix Inequalities and their role in various identification and control problems.
Title
Systems Concepts
Learning Outcome
Understand system concepts of stability, controllability, observability, minimality, behavior, and structure.
Title
Representation
Learning Outcome
Understand various mathematical representations of systems.
Title
Four Basic Problems
Learning Outcome
Understand the four basic problems: Model Reduction (i.e. Approximation), System Identification (i.e. Learning), Control (i.e. Decision Making), and Verification/Validation, and how they impact each other.
Title
Hankel Singular Values
Learning Outcome
Understand Hankel singular values and their role in balanced truncation as an approximation to optimal model reduction.
Title
Small Gain
Learning Outcome
Understand the role of the Small Gain Theorem and Passivity in providing guarantees of algorithm correctness in spite of model uncertainty.
