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MEMBERS OF RESEARCH CENTER
Research Centre
Data - Algorithms - Decision Making
Data - Algorithms - Decision Making
Established in 2005 under support of MŠMT ČR (project 1M0572)
Publications
Nonlinear State Estimation with Missing Observations Based on Mathematical Programming
Typ:
Conference paper
Authors:
Proceedings name:
Abstracts of contributions of the 6th Int. Workshop on Data - Algorithms - Decision Making 2010
Publisher:
ÚTIA AV ČR
Serie:
Praha
Year:
2010
Keywords:
state filtering, bounded errors, missing measurements
Anotation:
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.