Approximate Bayesian state estimation and output prediction using state-space model with uniform noise

0519771 - ÚTIA 2020 CZ eng V - Výzkumná zpráva
Lainová, Eva - Kuklišová Pavelková, Lenka - Jirsa, Ladislav
Approximate Bayesian state estimation and output prediction using state-space model with uniform noise.
Praha: ÚTIA AV ČR, 2019. 21 s. Research Report, 2381.
Grant CEP: GA ČR(CZ) GA18-15970S
Institucionální podpora: RVO:67985556
Klíčová slova: Bayesian filtering * state estimation * output prediction * uniform noise * parallelotopic support * orthotopic support
Obor OECD: 1. Natural Sciences
http://library.utia.cas.cz/separaty/2019/AS/kuklisova-0519771.pdf

This paper contributes to the problem of approximate Bayesian state estimation and output prediction using state space model with uniformly distributed noise. Algorithms for Bayesian filtering and output prediction for states uniformly distributed on an orthotopic support and Bayesian filtering and output prediction for states uniformly distributed on a parallelotopic support are presented and compared.
Trvalý link: http://hdl.handle.net/11104/0304777