Choice of least-squares algorithms for the identification of ARM AX dynamic systems

DOI10.1080/00207728908910207zbMath0678.93071OpenAlexW2061472311MaRDI QIDQ3835403

Mohamed Ahmed Fkirin

Publication date: 1989

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207728908910207

zbMATH Keywords

model structureidentification algorithmsrecursive least-squaresARMAX dynamic systemsBatch least-squaresextended recursive least-squares

Mathematics Subject Classification ID

Related Items (1)

Forecasting of economic dynamic systems

Cites Work

• Unnamed Item
• Unnamed Item
• Identification and application of bounded-parameter models
• Experimental comparison and application of various parameter-adaptive control algorithms
• System identification. A survey
• Recursive methods for off-line identification
• On the stability of time-varying models obtained by extended recursive least-squares identification
• Bounds on the accuracy of Gaussian ARMA parameter estimation methods based on sample covariances
• Model-Reference Adaptive Control—Stability, Parameter Convergence, and Robustness
• The convergence of AML
• On the stability of dynamic models obtained by least-squares identification
• A fundamental approach to the convergence analysis of least squares algorithms
• Convergence of an adaptive filter algorithm

This page was built for publication: Choice of least-squares algorithms for the identification of ARM AX dynamic systems