Original title: Approximate Bayesian state estimation and output prediction using state-space model with uniform noise
Authors: Lainová, Eva ; Kuklišová Pavelková, Lenka ; Jirsa, Ladislav
Document type: Research reports
Year: 2019
Language: eng
Series: Research Report, volume: 2381
Abstract: 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.
Keywords: Bayesian filtering; orthotopic support; output prediction; parallelotopic support; state estimation; uniform noise
Project no.: GA18-15970S (CEP)
Funding provider: GA ČR

Institution: Institute of Information Theory and Automation AS ČR (web)
Document availability information: Fulltext is available at external website.
External URL: http://library.utia.cas.cz/separaty/2019/AS/kuklisova-0519771.pdf
Original record: http://hdl.handle.net/11104/0304777

Permalink: http://www.nusl.cz/ntk/nusl-409337


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Research > Institutes ASCR > Institute of Information Theory and Automation
Reports > Research reports