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Published by: Massachusetts Institute of Technology | Language: English
Published by: Massachusetts Institute of Technology | Language: English
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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 compensator
Author(s):
Tag(s):
- aeronautics and astronautics
- probability
- stochastic estimation
- estimation
- random variables
- random processes
- state space
- wiener filter
- control system design
- kalman filter
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Published by: Massachusetts Institute of Technology | Language: English
Published by: Massachusetts Institute of Technology | Language: English
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This course gives an introduction to probability and statistics, with emphasis on engineering applications. Course topics include events and their probability, the total probability and Bayes' theorems, discrete and continuous random variables and vectors, uncertainty propagation and conditional analysis. Second-moment representation of unc
Author(s):
Tag(s):
- civil and environmental engineering
- fundamentals of probability
- random processes
- statistics
- decision analysis
- random variables and vectors
- uncertainty propagation
- conditional distributions
- second-moment analysis
- system reliability
- bayes theorem
- total probability theorem
- bayesian analysis and risk-based decision
- estimation of distribution parameters
- hypothesis tes
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Published by: Massachusetts Institute of Technology | Language: English
Published by: Massachusetts Institute of Technology | Language: English
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This class covers quantitative analysis of uncertainty and risk for engineering applications. Fundamentals of probability, random processes, statistics, and decision analysis are covered, along with random variables and vectors, uncertainty propagation, conditional distributions, and second-moment analysis. System reliability is introduced.
Author(s):
Tag(s):
- civil and environmental engineering
- fundamentals of probability
- random processes
- statistics
- decision analysis
- random variables and vectors
- uncertainty propagation
- conditional distributions
- second-moment analysis
- system reliability
- bayesian analysis and risk-based decision
- estimation of distribution parameters
- hypothesis testing
- simple and multiple linear regressio
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Published by: Massachusetts Institute of Technology | Language: English
Published by: Massachusetts Institute of Technology | Language: English
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This course examines signals, systems and inference as unifying themes in communication, control and signal processing. Topics include input-output and state-space models of linear systems driven by deterministic and random signals; time- and transform-domain representations in discrete and continuous time; group delay; state feedback and o
Author(s):
Tag(s):
- electrical engineering and computer science
- signals and systems
- transform representation
- state-space models
- state observers
- state feedback
- probabilistic models
- random processes
- power spectral density
- hypothesis testing
- signal detection
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