System identification: theory for the user
System identification: theory for the user
Automatica (Journal of IFAC) - Special section on fault detection, supervision and safety for technical processes
An indirect method for transfer function estimation from closed loop data
Automatica (Journal of IFAC)
Automatica (Journal of IFAC) - Special issue on statistical signal processing and control
Stochastic realization with exogenous inputs and “subspace-methods” identification
Signal Processing - Special issue: subspace methods, part II: system identification
Subspace identification from closed loop data
Signal Processing - Special issue: subspace methods, part II: system identification
Realization of stochastic systems with exogenous inputs and subspace identification methods
Automatica (Journal of IFAC)
Closed-loop identification revisited
Automatica (Journal of IFAC)
Brief Closed-loop identification with an unstable or nonminimum phase controller
Automatica (Journal of IFAC)
Algorithms for deterministic balanced subspace identification
Automatica (Journal of IFAC)
Brief Subspace identification of closed loop systems by the orthogonal decomposition method
Automatica (Journal of IFAC)
A novel subspace identification approach with enforced causal models
Automatica (Journal of IFAC)
Consistency analysis of some closed-loop subspace identification methods
Automatica (Journal of IFAC)
Instrumental variable methods for closed-loop system identification
Automatica (Journal of IFAC)
Hi-index | 22.14 |
A method of identifying closed-loop systems is developed by using the orthogonal decomposition (ORT) method. The idea is to project the input and output data onto the space of exogenous inputs by using the LQ decomposition to obtain their deterministic components. The ORT-based method is then applied to deterministic components like the direct approach in order to derive state-space models of the plant. We also show that the present method is a subspace version of the two-stage method for transfer function estimation from closed loop data. Some simulation results are included to show the applicability of the present method.