Recursive Filtering Under Probabilistic Encoding-Decoding Schemes: Handling Randomly Occurring Measurement Outliers

This article focuses on the recursive filtering problem for networked time-varying systems with randomly occurring measurement outliers (ROMOs), where the so-called ROMOs denote a set of large-amplitude perturbations on measurements. A new model is presented to describe the dynamical behaviors of RO...

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Bibliographic Details
Published in:	IEEE transactions on cybernetics Vol. 54; no. 6; pp. 3378 - 3391
Main Authors:	Zou, Lei, Wang, Zidong, Dong, Hongli, Yi, Xiaojian, Han, Qing-Long
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.06.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Boundedness analysis Coding Covariance Electronic mail Error analysis Filter design (mathematics) Measurement uncertainty Outliers (statistics) parameter-dependent recursive (PDR) filtering Performance degradation Pollution measurement probabilistic encoding–decoding (PED) scheme Probabilistic logic Probability theory randomly occurring measurement outliers (ROMOs) Recursive functions Scalars Stochastic processes Time-varying systems Upper bound Upper bounds
ISSN:	2168-2267, 2168-2275, 2168-2275
Online Access:	Get full text
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