Recursive subspace identification of AUV dynamic model under general noise assumption

DOI10.1155/2014/547539zbMath1407.93406OpenAlexW2024036567WikidataQ59065933 ScholiaQ59065933MaRDI QIDQ1718643

Di Wu, Lichao Hao, Jiajia Zhou, Zheping Yan

Publication date: 8 February 2019

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/547539

Mathematics Subject Classification ID

System identification (93B30) Nonlinear systems in control theory (93C10) Identification in stochastic control theory (93E12)

Cites Work

• Making parametric Hammerstein system identification a linear problem
• Propagator-based methods for recursive subspace model identification
• Subspace algorithms for the identification of multivariable dynamic errors-in-variables models
• Recursive 4SID algorithms using gradient type subspace tracking
• Identification of MIMO Hammerstein systems with non-linear feedback
• Subspace model identification Part 1. The output-error state-space model identification class of algorithms
• Recursive Identification for MIMO Hammerstein Systems
• Recursive subspace identification of linear and nonlinear Wiener state-space models
• Unnamed Item

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