An indirect method for transfer function estimation from closed loop data
Automatica (Journal of IFAC)
Identification and control—closed-loop issues
Automatica (Journal of IFAC) - Special issue on trends in system identification
For model-based control design, closed-loop identification gives better performance
Automatica (Journal of IFAC)
Identification of processes in closed loop-identifiability and accuracy aspects
Automatica (Journal of IFAC)
Closed-loop identification revisited
Automatica (Journal of IFAC)
Variance-error quantification for identified poles and zeros
Automatica (Journal of IFAC)
Excitation signal design for closed-loop system identification
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
A virtual closed loop method for closed loop identification
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Brief Closed-loop identification with an unstable or nonminimum phase controller
Automatica (Journal of IFAC)
Technical communique: Stability assessment for cautious iterative controller tuning
Automatica (Journal of IFAC)
From experiment design to closed-loop control
Automatica (Journal of IFAC)
On the frequency domain accuracy of closed-loop estimates
Automatica (Journal of IFAC)
Analysis of the variability of joint input-output estimation methods
Automatica (Journal of IFAC)
Variance error, interpolation and experiment design
Automatica (Journal of IFAC)
Hi-index | 22.16 |
Asymptotic variance expressions are analyzed for models that are identified on the basis of closed-loop data. The considered methods comprise the classical 'direct' method, as well as the more recently developed indirect methods, employing coprime factorized models, dual Youla/Kucera parametrizations and the two-stage approach. The variance expressions are compared with the open-loop situation, and evaluated in terms of their relevance for subsequent model-based control design.