Established in 2005 under support of MŠMT ČR (project 1M0572)

Publications

Online filtering for hybrid systems

Typ:
Conference paper
Authors:
Proceedings name:
Proceedings of the 14th Applied Stochastic Models and Data Analysis Conference (ASMDA2011)
Publisher:
Faculty of Economics of the University of Rome “La Sapienza”
Serie:
Rome
Year:
2011
Keywords:
state estimation, online filtering, hybrid systems
Anotation:
The paper deals with online state estimation for dynamic hybrid systems with mixed continuous and discrete states. The proposed solution is based on a decomposed version of the state-space model and Bayesian filtering. Specialization to Gaussian linear dynamic and multinomial state-space models is described. Experiments with real data illustrating the presented approach are provided.
 
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