Asymptotic convergence properties of the extended Kalman filter using filtered state estimates
β Scribed by Ursin, B.
- Book ID
- 120735620
- Publisher
- IEEE
- Year
- 1980
- Tongue
- English
- Weight
- 290 KB
- Volume
- 25
- Category
- Article
- ISSN
- 0018-9286
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It has been shown by Judd and Smith that it is impossible to determine the state of a nonlinear dynamical system from noisy observations of the system, even with perfect knowledge of the system dynamics and unlimited prior observation. There is always a set of states indistinguishable from the true
## Abstract The successful application of modelβbased control depends on the information about the states of the dynamic system. Stateβestimation methods, like extended Kalman filters (EKF), are useful for obtaining reliable estimates of the states from a limited number of measurements. They also c