Maximum likelihood‐based gradient estimation for multivariable nonlinear systems using the multiinnovation identification theory

DOI10.1002/rnc.5086zbMath1465.93043OpenAlexW3041405373MaRDI QIDQ4989974

Yan Ji, Ling Xu, Huafeng Xia, Tasawar Hayat, Ahmed Alsaedi

Publication date: 27 May 2021

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.5086

zbMATH Keywords

parameter estimationnonlinear systemmaximum likelihoodmultiinnovation identification theory

Mathematics Subject Classification ID

System identification (93B30) Nonlinear systems in control theory (93C10) Multivariable systems, multidimensional control systems (93C35)

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