Direct Filtering: A New Approach to Optimal Filter Design for Nonlinear Systems

DOI10.1109/TAC.2012.2204160zbMath1369.93646OpenAlexW1988793030MaRDI QIDQ5353074

Carlo Novara, Fredy Ruiz, Mario Milanese

Publication date: 8 September 2017

Published in: IEEE Transactions on Automatic Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tac.2012.2204160

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Design techniques (robust design, computer-aided design, etc.) (93B51)

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Data-driven control of nonlinear systems: an on-line direct approach ⋮ Set membership inversion and robust control from data of nonlinear systems ⋮ Data-Driven Filter Design for Linear Networked Systems with Bounded Noise ⋮ Effectiveness of Bayesian filters: an information fusion perspective ⋮ Limited-complexity controller tuning: a set membership data-driven approach ⋮ Direct design from data of optimal filters for LPV systems ⋮ Discrete-time filtering for nonlinear polynomial systems over linear observations ⋮ SMGO: a set membership approach to data-driven global optimization ⋮ Sparse set membership identification of nonlinear functions and application to fault detection ⋮ Low-complexity piecewise-affine virtual sensors: theory and design

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