16.323 Principles of Optimal Control
Studies basic optimization and the principles of optimal control. Considers deterministic and stochastic problems for both discrete and continuous systems. Solution methods include numerical search algorithms, model predictive control, dynamic programming, variational calculus, and approaches based on Pontryagin's maximum principle. Includes many examples and applications of the theory.
Lecture occurs 2:30 PM to 4:00 PM on Tuesdays and Thursdays in 33-418.
This class counts for a total of 12 credits.
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