On equivalence of the Gauss-Newton technique, the parameter influence coefficient technique, and the quasilinearization technique in dynamic system identification by least squares

DOI10.1007/BF00936725zbMath0336.93030OpenAlexW2094433881MaRDI QIDQ1229827

W. Y. Svrcek, V. T. Xuyen

Publication date: 1977

Published in: Journal of Optimization Theory and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf00936725

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) System identification (93B30) Estimation and detection in stochastic control theory (93E10)

Related Items (1)

Parameter estimation in underdetermined problems

Cites Work

• Unnamed Item
• On the comparison of two methods of off-line parameter identification
• The Modified Gauss-Newton Method for the Fitting of Non-Linear Regression Functions by Least Squares
• Sensitivity of Dynamic Systems to Parameters Which Increase the Order of Mathematical Models
• Comparison of Gradient Methods for the Solution of Nonlinear Parameter Estimation Problems

This page was built for publication: On equivalence of the Gauss-Newton technique, the parameter influence coefficient technique, and the quasilinearization technique in dynamic system identification by least squares