H∞ filtering with randomly occurring sensor saturations and missing measurements

In this paper, the H∞ filtering problem is investigated for a class of nonlinear systems with randomly occurring incomplete information. The considered incomplete information includes both the sensor saturations and the missing measurements. A new phenomenon of sensor saturation, namely, randomly oc...

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Bibliographic Details
Published in:	Automatica (Oxford) Vol. 48; no. 3; pp. 556 - 562
Main Authors:	Wang, Zidong, Shen, Bo, Liu, Xiaohui
Format:	Journal Article
Language:	English
Published:	Kidlington Elsevier Ltd 01.03.2012 Elsevier
Subjects:	Applied sciences Computer science; control theory; systems Computer systems and distributed systems. User interface Control system analysis Control theory. Systems Detection, estimation, filtering, equalization, prediction Exact sciences and technology Information, signal and communications theory Missing measurements Modelling and identification Nonlinear systems Random incomplete information Randomly occurring sensor saturations Regional [formula omitted] filters Signal and communications theory Signal, noise Software Telecommunications and information theory Missing measurements Randomly occurring sensor saturations Nonlinear systems Random incomplete information Regional H∞ filters Probabilistic approach Saturation Measurement sensor Gain margin H infinite control Non linear control Semi definite programming Conditional probability filters Non linear system Modeling Convex programming Asymptotic stability Uncertain system Regional H Filter System identification Incomplete information Sensor array Ellipsoid
ISSN:	0005-1098, 1873-2836
Online Access:	Get full text
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