Abstract
The filtering of a continuous, convergent semi-martingale, observed via a noisy linear sensor is considered. Specifically, conditions ensuring the consistency of the Bayesian estimator are sought after. These are derived in the form of a Persistence of Excitation (PE) property. This PE condition is stronger than the one required in the case of the estimation of a constant random vector. It coincides with the latter, when the unobserved semimartingale has a finite quadratic variation over [0, ∞]. Application examples are provided.
Original language | English |
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Article number | TuA11.6 |
Pages (from-to) | 394-399 |
Number of pages | 6 |
Journal | Proceedings of the IEEE Conference on Decision and Control |
Volume | 1 |
DOIs | |
State | Published - 1 Jan 2004 |
Event | 2004 43rd IEEE Conference on Decision and Control (CDC) - Nassau, Bahamas Duration: 14 Dec 2004 → 17 Dec 2004 |
ASJC Scopus subject areas
- Control and Systems Engineering
- Modeling and Simulation
- Control and Optimization