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Robust Filtering for Networked Stochastic Systems Subject to Sensor Nonlinearity
Joint Authors
Wu, Guoqiang
Zhang, Jianwei
Bai, Yuguang
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-02-20
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
The problem of network-based robust filtering for stochastic systems with sensor nonlinearity is investigated in this paper.
In the network environment, the effects of the sensor saturation, output quantization, and network-induced delay are taken into simultaneous consideration, and the output measurements received in the filter side are incomplete.
The random delays are modeled as a linear function of the stochastic variable described by a Bernoulli random binary distribution.
The derived criteria for performance analysis of the filtering-error system and filter design are proposed which can be solved by using convex optimization method.
Numerical examples show the effectiveness of the design method.
American Psychological Association (APA)
Wu, Guoqiang& Zhang, Jianwei& Bai, Yuguang. 2013. Robust Filtering for Networked Stochastic Systems Subject to Sensor Nonlinearity. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1011005
Modern Language Association (MLA)
Wu, Guoqiang…[et al.]. Robust Filtering for Networked Stochastic Systems Subject to Sensor Nonlinearity. Mathematical Problems in Engineering No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-1011005
American Medical Association (AMA)
Wu, Guoqiang& Zhang, Jianwei& Bai, Yuguang. Robust Filtering for Networked Stochastic Systems Subject to Sensor Nonlinearity. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1011005
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1011005