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

Ping Ma; Feng Ding; Ahmed Alsaedi; Tasawar Hayat

doi:10.1007/s11045-017-0491-y

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

Ping Ma Feng Ding Ahmed Alsaedi Tasawar Hayat

Year: 2017 Journal: Multidimensional Systems and Signal Processing Vol: 29 (3)Pages: 1135-1152 Publisher: Springer Science+Business Media

DOI: 10.1007/s11045-017-0491-y

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Keywords:

Multivariate statistics Autoregressive model Least-squares function approximation Mathematics Recursive least squares filter Generalized least squares Algorithm Identification (biology) Statistics Computer science Applied mathematics Adaptive filter

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Neural Networks and Applications

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Control Systems and Identification

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

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