State estimation with biased observations
| Autor: | D. D. Sworder, J.E. Boyd |
|---|---|
| Rok vydání: | 1999 |
| Předmět: |
State variable
Offset (computer science) Stochastic process media_common.quotation_subject Ambiguity Kalman filter Classification of discontinuities Computer Science Applications Human-Computer Interaction Nonlinear system Modal Control and Systems Engineering Control theory Electrical and Electronic Engineering Software Mathematics media_common |
| Zdroj: | IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans. 29:681-686 |
| ISSN: | 1083-4427 |
| Popis: | State estimation is difficult when the system has multiple modes of operation. Modal transitions create discontinuities in the reference point for the local state variables. The uncertain reference point increases the ambiguity in the state measurement. The paper presents an estimation algorithm that can be used in multimodal applications. The algorithm is shown to be superior to the Kalman filter when the state measurement is contaminated with a mode dependent offset. Despite the uncertain reference point in the observation, good estimates of the underlying entire state processes can be generated. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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