Sparse set membership identification of nonlinear functions and application to fault detection
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Publication:2830831
DOI10.1002/acs.2539zbMath1348.93141OpenAlexW1910272309MaRDI QIDQ2830831
Publication date: 1 November 2016
Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/acs.2539
Nonlinear systems in control theory (93C10) Estimation and detection in stochastic control theory (93E10) Algorithms for approximation of functions (65D15)
Related Items (5)
A unified framework for the identification of a general class of multivariable nonlinear block‐structured systems ⋮ Nonlinear system identification in Sobolev spaces ⋮ Design of experiments for nonlinear system identification: a set membership approach ⋮ Limited-complexity controller tuning: a set membership data-driven approach ⋮ Set-membership methods applied to FDI and FTC
Uses Software
Cites Work
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