A Time-Domain Probabilistic Approach to Model Set Validation

A Time-Domain Probabilistic Approach to Model Set Validation

We introduce a probabilistic measure named Model Set Unfalsified Probability (MSUP) for model set validation. We derive an upper bound and a lower bound of MSUP and show that the lower bound computation can be reduced to a convex optimization. Simulation results confirm that the probabilistic approa...

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Veröffentlicht in:Keisoku Jidō Seigyo Gakkai ronbunshū 2000/01/30, Vol.36(1), pp.46-52
Hauptverfasser: MIYAZATO, Tomoki, ZHOU, Tong, HARA, Shinji
Format: Artikel
Sprache:eng
Schlagworte:
model set
model validation
probabilistic approach
robust control
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Zusammenfassung:We introduce a probabilistic measure named Model Set Unfalsified Probability (MSUP) for model set validation. We derive an upper bound and a lower bound of MSUP and show that the lower bound computation can be reduced to a convex optimization. Simulation results confirm that the probabilistic approach more appropriately evaluates the suitability of a model set in robust controller design than deterministic approaches.
ISSN:0453-4654
1883-8189
DOI:10.9746/sicetr1965.36.46