0353841 20240103194557.820110114235959.9 1 s. cav_un_epca*035384023-23PrahaÚTIA AV ČR2010JanžuraM.IvánekJ. state filtering bounded errors missing measurements cav_un_auth*0101175 Pavelková Lenka Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2010/AS/pavelkova-nonlinear state estimation with missing observations based on mathematical programming.pdf 1M0572 GA MŠk cav_un_auth*0001814 CEZ:AV0Z10750506 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. cav_un_auth*0267386 6th International Workshop on Data – Algorithms – Decision Making Jindřichův Hradec 02.12.2010-04.12.2010 CZ 2011 BC 4 O 4o 20231122134357.3 http://hdl.handle.net/11104/0192972 2010 Soubory v repozitáři: 0353841.pdf cav_un_epca*0353840 Abstracts of contributions of the 6th Int. Workshop on Data - Algorithms - Decision Making 2010 23 23 Abstracts of contributions of the 6th Int. Workshop on Data - Algorithms - Decision Making 2010 Praha ÚTIA AV ČR 2010 Janžura M. 340 Ivánek J. 340