Publications
Online filtering for hybrid systems
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”
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.