Comparison of linear and nonlinear methods of confidence estimation for statistically uncertain systems

DOI10.1134/S0005117907040054zbMath1125.93478MaRDI QIDQ2371619

N. V. Medvedeva, G. A. Timofeeva

Publication date: 5 July 2007

Published in: Automation and Remote Control (Search for Journal in Brave)

zbMATH Keywords

random perturbationsKalman filtersnonlinear estimatessystems with uncertain parameters

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Control/observation systems with incomplete information (93C41) Perturbations in control/observation systems (93C73) Estimation and detection in stochastic control theory (93E10)

Related Items (4)

Minimax linear estimation with the probability criterion under unimodal noise and bounded parameters ⋮ Distributionally robust optimization by probability criterion for estimating a bounded signal ⋮ Constructing maximum likelihood estimates for statistically uncertain linear systems ⋮ Properties of nonlinear confidence estimates for statistically uncertain systems

Cites Work

• Nonlinear confidence estimates for statistically uncertain systems
• Minimax identification of a generalized uncertain-stochastic linear model
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