16.323 Principles of Optimal Control

Class Info

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.

This class has 18.085, and 16.31 as prerequisites.

16.323 will not be offered this semester. It will be instructed by S. R. Hall.

Lecture occurs 2:30 PM to 4:00 PM on Mondays and Wednesdays in 33-418.

This class counts for a total of 12 credits. This is a graduate-level class.

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