The Luenberger canonical form in the state/parameter estimation of linear systems

DOI10.1080/00207177608922206zbMath0335.93020OpenAlexW1968229770MaRDI QIDQ4102979

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Publication date: 1976

Published in: International Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207177608922206

Mathematics Subject Classification ID

System identification (93B30) Estimation and detection in stochastic control theory (93E10) Signal detection and filtering (aspects of stochastic processes) (60G35) Canonical structure (93B10)

Related Items (4)

The identification of the parameters of time-invariant stochastic systems by a method derived from the continuous-time Kalman filter ⋮ A study in continuous time of the identification of initial conditions and/or parameters of deterministic system by means of a Kalman-type filter ⋮ A Kalman filter type of extension to a deterministic gradient technique for parameter estimation ⋮ A note on ‘The Luenberger canonical form in the state/parameter estimation of linear systems’

Cites Work

• Unnamed Item
• Canonical forms for the identification of multivariable linear systems
• Invariant Description of Linear, Time-Invariant Controllable Systems
• Optimal simultaneous state estimation and parameter identification in linear discrete-time systems
• A canonical model for identification of multivariable linear systems

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