Recursive least squares identification methods for multivariate pseudo-linear systems using the data filtering

DOI10.1007/s11045-017-0491-yzbMath1448.94075OpenAlexW2607183317MaRDI QIDQ784626

Feng Ding, Ping Ma, Ahmed Alsaedi, Tasawar Hayat

Publication date: 3 August 2020

Published in: Multidimensional Systems and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11045-017-0491-y

zbMATH Keywords

parameter estimationnonlinear systemleast squaresmultivariate systemdata filteringpseudo-linear system

Mathematics Subject Classification ID

Least squares and related methods for stochastic control systems (93E24) Identification in stochastic control theory (93E12) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (3)

Collaborative linear dynamical system identification by scarce relevant/irrelevant observations ⋮ Decomposition-based gradient estimation algorithms for multivariate equation-error autoregressive systems using the multi-innovation theory ⋮ Decomposition-based recursive least squares identification methods for multivariate pseudo-linear systems using the multi-innovation

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