Detection techniques in least squares identification

DOI10.1016/0005-1098(81)90068-6zbMath0474.93062OpenAlexW1999814464MaRDI QIDQ1159642

John B. Moore, Rajendra Kumar

Publication date: 1981

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0005-1098(81)90068-6

zbMATH Keywords

identificationparameter estimationbias reductiondetectionstochastic systems

Mathematics Subject Classification ID

Related Items (1)

Continuous-time system representation with exact macro-difference expressions

Cites Work

• Unnamed Item
• Dynamic system identification. Experiment design and data analysis
• A theoretical analysis of recursive identification methods
• State inverse and decorrelated state stochastic approximation
• On strong consistency of least squares identification algorithms
• Multivariable adaptive parameter and state estimators with convergence analysis
• Strongly consistent parameter estimation by the introduction of strong instrumental variables
• Some observations on instrumental variable methods of time-series analysis
• Time series recursions and stochastic approximation

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