On deformations, approximations and nonlinear filtering
β Scribed by Michiel Hazewinkel
- Publisher
- Elsevier Science
- Year
- 1981
- Tongue
- English
- Weight
- 348 KB
- Volume
- 1
- Category
- Article
- ISSN
- 0167-6911
No coin nor oath required. For personal study only.
β¦ Synopsis
Now suppose that a filter (1.3) exists. We can assume that (1.3) is minimal. Then there are 2 ways of calculating y(x,), viz. via (1.3) and also via (1.2) because given p(x,t), y(x,) can be obtained by first normalizing and then integrating y(x,) against the normalized conditional density.
π SIMILAR VOLUMES
This paper considers the problem of sequential estimation of the state of a nonlinear process from noisy measurement data. In a previous paper [1] the problem was concerned with measurements which are linear combinations of the state variables. In this paper a different approach to the problem is us
The structure of the nonlinear H~-filter in the neighborhood of the estimated trajectory is investigated and a bound on the size of the neighbc.rhood that allows this structure is determined, both for finite and infinite horizons. Riccati inequalities that depend on the estimated trajectory are deri