An adaptive subspace data-driven method for nonlinear dynamic systems

DOI10.1016/j.jfranklin.2022.04.022zbMath1530.93212OpenAlexW4225270888MaRDI QIDQ6136433

Hua Bai, Hong-Jun Ma, Unnamed Author, Haobo Kang

Publication date: 17 January 2024

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2022.04.022

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Control/observation systems in abstract spaces (93C25)

Cites Work

• Quality-related fault detection using linear and nonlinear principal component regression
• Fault detection of uncertain chemical processes using interval partial least squares-based generalized likelihood ratio test

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