Abstract
System design in presence of uncertainty calls for experimentation, and a question that arises naturally is: how many experiments are needed to come up with a system meeting certain performance requirements?
This contribution represents an attempt to answer this fundamental question. Results are con- fined to a specific set-up where adaptation is performed according to a worst-case perspective, but many considerations and reflections are central to adaptation in general.
This work is supported by MIUR (Ministero dell’Istruzione, dell’Università e della Ricerca) under the project Identification and adaptive control of industrial systems and by CNR-IEIIT.
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Bittanti, S., Campi, M.C., Prandini, M. (2007). How Many Experiments Are Needed to Adapt?. In: Chiuso, A., Pinzoni, S., Ferrante, A. (eds) Modeling, Estimation and Control. Lecture Notes in Control and Information Sciences, vol 364. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73570-0_2
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DOI: https://doi.org/10.1007/978-3-540-73570-0_2
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