Nov 21, 2024  
2022-2023 Graduate Catalog 
    
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2022-2023 Graduate Catalog [ARCHIVED CATALOG]

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ME 8220 - Applied Optimal Control

3 Credits (3 Contact Hours)
This course focuses on formulating and solving applied optimal control problems, including regulation and tracking problems and higher-level planning and decision making problems. Several methods are presented for solving an optimal control problem and many applied examples from different engineering domains are presented. Dynamic Programming, a numerical technique for solving optimal decision making problems, and the now popular approach of Model Predictive Control, which allows imposing constraints on control inputs and system states along with numerical solution methods, are both introduced. In addition, necessary and sufficient conditions for optimality and Pontryagin Minimum Principle are introduced. Students are expected to have computer programming experience (MATLAB or the equivalent) and knowledge of states-space representation of dynamic systems and the basics of classical control before enrolling in this course.


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