Probability-Guaranteed Envelope-Constrained Filtering for Nonlinear Systems Subject to Measurement Outliers

This article deals with the recursive filtering problem for nonlinear time-varying stochastic systems subject to possible measurement outliers. In order to mitigate the effects from possible abnormal measurements, we construct a filter with a saturation constraint imposed on the innovations where th...

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Veröffentlicht in:	IEEE transactions on automatic control Jg. 66; H. 7; S. 3274 - 3281
Hauptverfasser:	Ma, Lifeng, Wang, Zidong, Hu, Jun, Han, Qing-Long
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.07.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	<inline-formula xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <tex-math notation="LaTeX"> H_\infty</tex-math> </inline-formula> filtering Algorithms Computational geometry Constraints Convexity envelope-constraint in probability Estimation error Filtration finite-horizon filtering Horizon Linear matrix inequalities Mathematical model measurement outliers Nonlinear systems Optimization Outliers (statistics) Performance indices Saturation Signal processing algorithms Stochastic systems Technological innovation Time-varying systems
ISSN:	0018-9286, 1558-2523
Online-Zugang:	Volltext
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