Abstract
Optimal input design for system identi.cation was an active area of research in the 1970’s, with different quality measures of the identified model being used for this optimal design [1-3]. The questions at that time addressed open-loop identification and the objective functions that were minimized were various measures of the parameter covariance matrix P θ , where θ is the parameter vector of the model structure.
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Gevers, M., Bombois, X., Scorletti, G., Van den Hof, P., Hildebrand, R. Experiment Design for Robust Control: Why Do More Work Than Is Needed?. In: Francis, B.A., Smith, M.C., Willems, J.C. (eds) Control of Uncertain Systems: Modelling, Approximation, and Design. Lecture Notes in Control and Information Science, vol 329. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11664550_8
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DOI: https://doi.org/10.1007/11664550_8
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