Recursive relaxation identification of linear multivariable systems with its parallel algorithm

DOI10.1016/0020-0255(95)00235-9zbMath0886.93012OpenAlexW2023618749MaRDI QIDQ1364496

Kunlin Liu, Mi Lu

Publication date: 4 September 1997

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0020-0255(95)00235-9

zbMATH Keywords

identificationrecursive least squaresKalman filteringlinear discrete-time multivariable system

Mathematics Subject Classification ID

System identification (93B30) Multivariable systems, multidimensional control systems (93C35) Parallel numerical computation (65Y05)

Related Items

Hierarchical estimation algorithms for multivariable systems using measurement information

Cites Work

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• Dynamic system identification. Experiment design and data analysis
• Kalman filtering with real-time applications
• Canonical structures in the identification of multivariable systems
• Modified extended Kalman filtering and a real-time parallel algorithm for system parameter identification
• Identification of continuous-time multivariable systems from sampled data†
• Parallel computation of the modified extended kalman filter
• Efficient algorithm for irreducible realization of a rational matrix
• Structure determination and parameter identification for multivariable stochastic linear systems
• Asymptotic behavior of the extended Kalman filter as a parameter estimator for linear systems

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