Material Detail

16.322 Stochastic Estimation and Control | Aeronautics and Astronautics

The major themes of this course are estimation and control of dynamic systems. Preliminary topics begin with reviews of probability and random variables. Next, classical and state-space descriptions of random processes and their propagation through linear systems are introduced, followed by frequency domain design of filters and compensators. From there, the Kalman filter is employed to estimate the states of dynamic systems. Concluding topics include conditions for stability of the filter equations.

Keywords:: stochastic estimation, estimation, Kalman filter, Guidance and Control Systems, control system design, random variables, state space, probability, random processes, Probability and Statistics, Wiener filter

Disciplines:

Science and Technology / Engineering / Aerospace and Aeronautical Engineering

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More about this material

Material Type:: Online Course
Date Added to MERLOT:: May 12, 2016
Date Modified in MERLOT:: May 12, 2016
Author:: Velde, Wallace Vander
Submitter:: Barbra Bied Sperling

Primary Audience:: Graduate School
Technical Format:: Website
Mobile Compatibility:: Not specified at this time
Language:: English
Cost Involved:: No
Source Code Available:: No
Creative Commons:: This work is licensed under a Attribution-NonCommercial-ShareAlike 3.0 United States