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Scholarly articles for state estimation
… to nonlinear/non-Gaussian Bayesian state estimation - Gordon - Cited by 7374
Optimal state estimation: Kalman, H infinity, and … - Simon - Cited by 3753
Estimation and tracking- Principles, techniques, and … - Bar-Shalom - Cited by 2694
In control theory, a state observer is a system that provides an estimate of the internal state of a given real system, from measurements of the input and output of the real system. It is typically computer-implemented, and provides the basis of many practical applications.
State observer - Wikipedia
https://en.wikipedia.org/wiki/State_observer
[PDF]
State Estimation - Control and Dynamical Systems - Caltech
Assume that there are p > 1 sensors. Then the Kalman filter automatically. weights the measurements and fuses the data into a single optimal estimate. of the state. Assume for simplicity that the measurement noise of the sensors.
[PDF]
rotations and poses in a simple and practical way using matrix Lie groups.
state estimation for robotics - University of Toronto
asrl.utias.utoronto.ca/~tdb/bib/barfoot_ser15.pdf - Similar
to approach state estimation in three dimensions. In particular, I show how to treat rotations and poses in a simple and practical way using matrix Lie groups.
State observer - Wikipedia
In control theory, a state observer is a system that provides an estimate of the internal state of a given real system, from measurements of the input and output of the real system. It is typically computer-implemented, and provides the basis of many practical applications.
State Estimation | Unit 4: Probability and Planning | Introduction to ...
https://ocw.mit.edu/courses/...and...i.../state-estimation - Cached
In this session, we focus on state estimation. We'll use state estimation to estimate the location of a robot in a hallway, and use it to localize a robot. Later
we'll be ...