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- W2000246816 abstract "In this paper we propose a methodology for active failure detection for sampled-data systems in the presence of model uncertainty. Active failure detection consists of injecting a signal (called an auxiliary signal) into the system. Using a multi-model framework to represent normal and failed behaviors of the system,we develop algorithms for the design of optimal auxiliary signals and online detection tests. The tests give guaranteed detection. Any conservatism inherited from the multi-model framework increases the size of the test signal and is not reflected in missed failures or false alarms as with several other approaches." @default.
- W2000246816 created "2016-06-24" @default.
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- W2000246816 date "2005-01-01" @default.
- W2000246816 modified "2023-10-18" @default.
- W2000246816 title "A Multi-Model Approach to Failure Detection in Uncertain Sampled-Data Systems" @default.
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- W2000246816 doi "https://doi.org/10.3166/ejc.11.255-265" @default.
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