𝔖 Bobbio Scriptorium
✦   LIBER   ✦

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


Discrete time filters for doubly stochas
✍ Jonathan H. Manton; Vikram Krishnamurthy; Robert J. Elliott 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 189 KB 👁 1 views

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

Compatibility of multi-wave panel data a
✍ Carette, Philippe 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 103 KB 👁 2 views

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