Merging Kalman Filtering and Zonotopic State Bounding for Robust Fault Detection under Noisy Environment
نویسندگان
چکیده
منابع مشابه
Merging Kalman Filtering and Zonotopic State Bounding for Robust Fault Detection under Noisy Environment
A joint Zonotopic and Gaussian Kalman Filter (ZGKF) is proposed for the robust fault detection of discrete-time LTV systems simultaneously subject to bounded disturbances and Gaussian noises. Given a maximal probability of false alarms, a detection test is developed and shown to merge the usually mutually exclusive benefits granted by set-membership techniques (robustness to worst-case within s...
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ژورنال
عنوان ژورنال: IFAC-PapersOnLine
سال: 2015
ISSN: 2405-8963
DOI: 10.1016/j.ifacol.2015.09.542