Course Highlights
 
16.323 Principles of Optimal Control
 Spring 2008
  Graphical representation of a line search equation. (Graph by Jonathan How.)
 Course Description
 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.
 ACKNOWLEDGEMENT:
This course content is a redistribution of MIT Open Courses. Access to the course materials is free to all users.
			 
	    
	  		This course content is a redistribution of MIT Open Courses. Access to the course materials is free to all users.
