An LFT approach to parameter estimation

DOI10.1016/j.automatica.2008.04.026zbMath1153.93521OpenAlexW2143787725MaRDI QIDQ2518978

Sundeep Rangan, Kameshwar R. Poolla, Greg Wolodkin, Kenneth Hsu, Tyrone L. Vincent

Publication date: 21 January 2009

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2008.04.026

zbMATH Keywords

system identificationparameter estimationmaximum likelihoodlinear fractional transformation

Mathematics Subject Classification ID

Estimation and detection in stochastic control theory (93E10) Identification in stochastic control theory (93E12) Transformations (93B17)

Related Items (6)

An analysis of the parametrization by data driven local coordinates for multivariable linear systems ⋮ Data driven local coordinates for multivariable linear systems and their application to system identification ⋮ Robust maximum likelihood estimation in the linear model ⋮ Estimating nonlinearity using Volterra kernels in feedback with linear models ⋮ Model order reduction for object-oriented models: a control systems perspective ⋮ An LFT approach to parameter estimation

Cites Work

• Dynamic system identification. Experiment design and data analysis
• The complex structured singular value
• An analysis of the parametrization by data driven local coordinates for multivariable linear systems
• An LFT approach to parameter estimation
• Problems of identification and control
• An approach to nonlinear programming
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