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AUTOMATICA
2006

Least costly identification experiment for control

11 years 12 months ago
Least costly identification experiment for control
All approaches to optimal experiment design for control have so far focused on deriving an input signal (or input signal spectrum) that minimizes some control-oriented measure of plant/model mismatch between the nominal closed loop system and the actual closed loop system, typically under a constraint on the total input power. In practical terms, this amounts to finding the (constrained) input signal that minimizes a measure of a control-oriented model uncertainty set. Here we address the experiment design problem from a "dual" point of view and in a closed-loop setting: given a maximum allowable controloriented model uncertainty measure compatible with our robust control specifications, what is the cheapest identification experiment that will give us an uncertainty set that is within the required bounds? The identification cost can be measured by either the experiment time, the performance degradation during experimentation due to the added excitation signal, or a combinati...
Xavier Bombois, Gérard Scorletti, Michel Ge
Added 10 Dec 2010
Updated 10 Dec 2010
Type Journal
Year 2006
Where AUTOMATICA
Authors Xavier Bombois, Gérard Scorletti, Michel Gevers, Paul M. J. Van den Hof, Roland Hildebrand
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