A bias-correction method for indirect identification of closed-loop systems
Automatica (Journal of IFAC)
Identification of closed-loop systems with low-order controllers
Automatica (Journal of IFAC)
System identification (2nd ed.): theory for the user
System identification (2nd ed.): theory for the user
Comments on “On a least-squares-based algorithm foridentification of stochastic linear systems”
IEEE Transactions on Signal Processing
Closed-loop identification revisited
Automatica (Journal of IFAC)
Brief paper: An approach to closed-loop subspace identification by orthogonal decomposition
Automatica (Journal of IFAC)
Third-order cumulants based methods for continuous-time errors-in-variables model identification
Automatica (Journal of IFAC)
Refined instrumental variable methods for identification of LPV Box-Jenkins models
Automatica (Journal of IFAC)
A virtual closed loop method for closed loop identification
Automatica (Journal of IFAC)
Instrumental variable scheme for closed-loop LPV model identification
Automatica (Journal of IFAC)
Hi-index | 22.16 |
In this paper, several instrumental variable (IV) and instrumental variable-related methods for closed-loop system identification are considered and set in an extended IV framework. Extended IV methods require the appropriate choice of particular design variables, as the number and type of instrumental signals, data prefiltering and the choice of an appropriate norm of the extended IV-criterion. The optimal IV estimator achieves minimum variance, but requires the exact knowledge of the noise model. For the closed-loop situation several IV methods are put in an extended IV framework and characterized by different choices of design variables. Their variance properties are considered and illustrated with a simulation example.