Asymptotic statistical analysis for model-based control design strategies

DOI10.1016/j.automatica.2011.01.058zbMath1233.93096OpenAlexW1967040882MaRDI QIDQ540203

Boris I. Godoy, Alicia Esparza, Cristian R. Rojas, Juan C. Agüero

Publication date: 1 June 2011

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10251/33393

zbMATH Keywords

system identificationmaximum likelihoodmodel-based control

Mathematics Subject Classification ID

Estimation and detection in stochastic control theory (93E10) Identification in stochastic control theory (93E12)

Related Items (1)

Accuracy of linear multiple-input multiple-output (MIMO) models obtained by maximum likelihood estimation

Cites Work

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• Fundamental Limitations on the Variance of Estimated Parametric Models
• Direct Nonlinear Control Design: The Virtual Reference Feedback Tuning (VRFT) Approach
• Fundamental limitations in filtering and control

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