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.
16.323 will be offered this semester (Spring 2018). It is 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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