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 available in the Spring semester, and will be instructed by S. R. Hall and J. P. How.

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.

In the Spring 2016 Subject Evaluations, 16.323 was rated 5.7 out of 7.0. You can find more information on MIT OpenCourseWare at the Principles of Optimal Control site or on the 16.323 Stellar site.

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Principles of Optimal Control
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