Performance Analysis of The Auxiliary‐Model‐Based Multi‐Innovation Stochastic Newton Recursive Algorithm for Dual‐Rate Systems

DOI10.1002/asjc.1395zbMath1365.93277OpenAlexW2535260607MaRDI QIDQ5270472

Pengfei Cao, Xiong-Lin Luo

Publication date: 23 June 2017

Published in: Asian Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/asjc.1395

zbMATH Keywords

convergence analysissystem identificationrecursive algorithmauxiliary modeldual-rate systemmulti-innovation

Mathematics Subject Classification ID

Stochastic programming (90C15) Sampled-data control/observation systems (93C57) Identification in stochastic control theory (93E12)

Related Items (1)

Outlier robust identification of dual‐rate Hammerstein models in the presence of unmodeled dynamics

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