Analysis of the variability of joint input-output estimation methods

Authors:
Brett Ninness;HåKan Hjalmarsson
Affiliations:
School of Electrical Engineering & Computer Science, University of Newcastle, Australia;Department of Sensors, Signals and Systems (Automatic Control), The Royal Institute of Technology, S-100 44 Stockholm, Sweden
Venue:
Automatica (Journal of IFAC)
Year:
2005

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Abstract

It has been recently established that, when estimating parametric models on the basis of closed loop data, the frequency domain variability of direct and various indirect methods may significantly differ from one another. This paper continues this work by analysing the performance of certain common joint input-output estimation methods.