DocumentCode :
2021213
Title :
Uncertainty model unfalsification
Author :
Kosut, Robert L. ; Anderson, Brian D O
Author_Institution :
SC Solutions, Santa Clara, CA, USA
Volume :
1
fYear :
1997
fDate :
10-12 Dec 1997
Firstpage :
163
Abstract :
The main contributions presented are (i) to widen the classes of model sets for which necessary and sufficient conditions for uncertainty model unfalsification can be obtained, and (ii) to display the effect of different assumptions concerning the modeling error on the curves defining the boundary of unfalsified models (the optimal uncertainty tradeoff curve) for the same underlying data set
Keywords :
sequences; model sets; modeling error; necessary and sufficient conditions; optimal uncertainty tradeoff curve; uncertainty model unfalsification; Adaptive control; Adaptive systems; Australia; Contracts; Displays; Mathematics; Predictive models; Robustness; Testing; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
Conference_Location :
San Diego, CA
ISSN :
0191-2216
Print_ISBN :
0-7803-4187-2
Type :
conf
DOI :
10.1109/CDC.1997.650608
Filename :
650608
Link To Document :
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