Observer control for bearings-only tracking using possibility functions

DOI10.1016/J.AUTOMATICA.2021.109888zbMath1480.93154OpenAlexW3194433631MaRDI QIDQ2065236

Du Yong Kim, Branko Ristic, Zhijin Chen, Jeremie Houssineau

Publication date: 7 January 2022

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2021.109888

zbMATH Keywords

possibility theorysensor controlbearings-only trackingrobust nonlinear filteringmodel mismatch

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Nonlinear systems in control theory (93C10) Observers (93B53)

Related Items (1)

Novel pseudo-linear Kalman filtering for 3D angle-only tracking in the presence of observer's location errors

Uses Software

• PRMLT

Cites Work

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• Fuzzy sets as a basis for a theory of possibility
• Transforming probability distributions into membership functions of fuzzy classes: a hypothesis test approach
• Sequential Monte Carlo Methods in Practice
• Smoothing and Filtering with a Class of Outer Measures
• Symbolic and Quantitative Approaches to Reasoning with Uncertainty

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