Principles of Optimal Control
16.323 · Aeronautics and Astronautics · Graduate · Spring 2008
Prof. Jonathan P. How
This course studies basic optimization and the principles of optimal control. It considers deterministic and stochastic problems for both discrete and continuous systems. The course covers solution methods including numerical search algorithms, model predictive control, dynamic programming, variational calculus, and approaches based on Pontryagin’s maximum principle, and it includes many examples and applications of the theory.
The syllabus, on MIT OpenCourseWare
The full course — syllabus, assigned readings, problem sets, exams, and lecture notes — lives on OCW. These open the real thing:
Syllabus ↗
Course overview, grading, schedule
Readings ↗
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Assignments ↗
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Attribution
Prof. Jonathan P. How. 16.323 Principles of Optimal Control. Spring 2008. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: CC BY-NC-SA 4.0.
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