The filter design from data (FD2) problem: parametric-statistical approach

DOI10.1002/rnc.1791zbMath1273.93161OpenAlexW1483853457MaRDI QIDQ2857107

Mario Milanese, Carlo Novara, Eilyan Bitar, Kameshwar R. Poolla

Publication date: 31 October 2013

Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/rnc.1791

zbMATH Keywords

nonlinear systemsdirect filter designparametric-statistical estimation

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Nonlinear systems in control theory (93C10) Estimation and detection in stochastic control theory (93E10)

Related Items (4)

Set membership inversion and robust control from data of nonlinear systems ⋮ A comparison of model-based and data-driven controller tuning ⋮ Sparse set membership identification of nonlinear functions and application to fault detection ⋮ From Model-Based to Data-Driven Filter Design

Uses Software

• EnKF

Cites Work

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• On the Genericity of the Observability of Uncontrolled Discrete Nonlinear Systems
• A linear matrix inequality approach to peak-to-peak gain minimization
• Vehicle Dynamics and Control
• Data Assimilation

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