Bibliography

Abstract

Nonlinear State Estimation with Missing Observations Based on Mathematical Programming

: Abstracts of contributions of the 6th Int. Workshop on Data - Algorithms - Decision Making 2010, p. 23-23 , Eds: Janžura M., Ivánek J.

: 6th International Workshop on Data – Algorithms – Decision Making, (Jindřichův Hradec, CZ, 02.12.2010-04.12.2010)

: CEZ:AV0Z10750506

: 1M0572, GA MŠk

: state filtering, bounded errors, missing measurements

: http://library.utia.cas.cz/separaty/2010/AS/pavelkova-nonlinear state estimation with missing observations based on mathematical programming.pdf

(eng): The contribution deals with two problems in the state estimation: a bounded uncertainty and missing measurement data. A discrete time state-space model with uniformly distributed uncertainty is considered. The Bayesian approach is used and maximum a posteriori probability estimates are evaluated. An estimation algorithm is based on the non-linear programming.

: BC