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Chapitre D'ouvrage Année : 2006

Experiment Design for Robust Control: Why Do More Work Than Is Needed?

Résumé

Optimal input design for system identification 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.

Dates et versions

hal-03150596 , version 1 (23-02-2021)

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Citer

Michel Gevers, Xavier Bombois, Gérard Scorletti, Paul van den Hof, Roland Hildebrand. Experiment Design for Robust Control: Why Do More Work Than Is Needed?. Control of Uncertain Systems: Modelling, Approximation, and Design, 329, Springer-Verlag, pp.139-162, 2006, Lecture Notes in Control and Information Science, ⟨10.1007/11664550_8⟩. ⟨hal-03150596⟩
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