16.32 Principles of Optimal Control and Estimation (New)
Fundamentals of optimal control and estimation for discrete and continuous systems. Briefly reviews constrained function minimization and stochastic processes. Topics in optimal control theory include dynamic programming, variational calculus, Pontryagin's maximum principle, and numerical algorithms and software. Topics in estimation include least-squares estimation, and the Kalman filter and its extensions for estimating the states of dynamic systems. May include an individual term project.
16.32 will not be offered this semester. It will be available in the Spring semester, and will be instructed by S. R. Hall.
This class counts for a total of 12 credits. This is a graduate-level class.
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