Calculation of discrete-time process noise statistics for hybrid continuous/discrete-time applications
✍ Scribed by Jay Farrell; Mitchell Livstone
- Publisher
- John Wiley and Sons
- Year
- 1996
- Tongue
- English
- Weight
- 236 KB
- Volume
- 17
- Category
- Article
- ISSN
- 0143-2087
No coin nor oath required. For personal study only.
✦ Synopsis
Discrete-time models of continuous-time plants are commonly required owing to the popular use of computers to implement control and estimation algorithms. When stochastic design techniques such as the discrete-time Kalman filter are utilized, it is necessary to determine the equivalent discrete-time process noise statistics from the continuous-time process noise statistics. Herein we present a new solution for the required transformation.
📜 SIMILAR VOLUMES
The well-known Kalman ÿlter is the optimal ÿlter for a linear Gaussian state-space model. Furthermore, the Kalman ÿlter is one of the few known ÿnite-dimensional ÿlters. In search of other discrete-time ÿnitedimensional ÿlters, this paper derives ÿlters for general linear exponential state-space mod
Multi-wave panel data are observations at two or more points in time on a continuously changing attribute of interest (e.g. behaviour). In this paper, the adequacy of the continuous-time homogeneous Markov chain (CTHMC) model is assessed for describing the process of change underlying such data. In