prog_algs
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nasa
The Prognostic Algorithm Package is a python framework for model-based prognostics (computation of remaining useful life) of engineering systems, and provides a set of algorithms for state estimation...
## D.o.D. - [ ] Algorithms supported by FilterPy explored and pros/cons documented - [ ] Issues exist for implementations of any algorithms selected
We could potentially use a general scipy distribution under the hood of uncertain data See scipy_dists branch
The current approach includes an assumption that the sigma points that represent the distribution of states are valid sigma points on the time axis (i.e., the time when the state...
Add an example using the measurement_eqn to handle a case where units are different, or what is measured is some combination of states