Identification of processes in closed loop-identifiability and accuracy aspects
Automatica (Journal of IFAC)
Paper: Identifiability of MIMO linear dynamic systems operating in closed loop
Automatica (Journal of IFAC)
On the problem of ambiguities in maximum likelihood identification
Automatica (Journal of IFAC)
Closed-loop identification revisited
Automatica (Journal of IFAC)
Necessary and sufficient conditions for uniqueness of the minimum in Prediction Error Identification
Automatica (Journal of IFAC)
| Hi-index | 22.15 |
The identifiability of multiple input-multiple output stochastic systems operating in closed loop is considered for the case where the plant and the regulator are both linear and time-invariant. Two basic identification methods have been proposed for such systems: the joint input-output method, in which the input and output processes are modelled jointly as the output of a white noise driven system; and the direct method, in which a prediction error method is used on the input-output data as if the system were in open loop. Previously obtained identifiability results for the joint input-output method are extended to a number of new situations, including but extending beyond the identifiability results obtained with the direct method.