May 1, 2024
Updated June 2, 2025
19 minute read
An Introduction to State Estimation
ryjbb5|
Find a path to becoming a State Estimation. Learn more at:
OpenCourser.com/topic/ryjbb5/state
Reading list
We've selected six books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
State Estimation.
Provides a comprehensive overview of the theory and practice of optimal state estimation, with a focus on Kalman filtering. It is suitable for both beginners and experienced engineers.
Provides a thorough introduction to Kalman filtering and Bayesian analysis, with a focus on engineering applications. It is suitable for both beginners and experienced engineers.
Provides a comprehensive overview of Markov chain Monte Carlo methods, with a focus on applications in statistics and machine learning. It is suitable for both beginners and experienced researchers.
Provides a comprehensive overview of sequential Monte Carlo methods, with a focus on applications in statistics and machine learning. It is suitable for both beginners and experienced researchers.
Provides a comprehensive overview of linear state-space control systems, with a focus on control theory and design. It is suitable for both beginners and experienced engineers.
Provides a comprehensive overview of Gaussian processes for machine learning, with a focus on applications in regression and classification. It is suitable for both beginners and experienced researchers.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/ryjbb5/state
Save
