Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/6315
Title: | H-infinity filtering with randomly occurring sensor saturations and missing measurements |
Authors: | Wang, Z Shen, B Liu, X |
Keywords: | Randomly occurring sensor saturations;Missing measurements;Nonlinear systems;Regional H∞ filters;Random incomplete information |
Issue Date: | 2012 |
Publisher: | Elsevier |
Citation: | Automatica, 48(3): 556 - 562, Mar 2012 |
Abstract: | 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 occurring sensor saturation (ROSS), is put forward in order to better reflect the reality in a networked environment such as sensor networks. A novel sensor model is then established to account for both the ROSS and missing measurement in a unified representation by using two sets of Bernoulli distributed white sequences with known conditional probabilities. Based on this sensor model, a regional H∞ filter with a certain ellipsoid constraint is designed such that the filtering error dynamics is locally mean-square asymptotically stable and the H∞-norm requirement is satisfied. Note that the regional l2 gain filtering feature is specifically developed for the random saturation nonlinearity. The characterization of the desired filter gains is derived in terms of the solution to a convex optimization problem that can be easily solved by using the semi-definite program method. Finally, a simulation example is employed to show the effectiveness of the filtering scheme proposed in this paper. |
Description: | This is the post-print version of the Article. The official published version can be accessed from the link below - Copyright @ 2012 Elsevier |
URI: | http://www.sciencedirect.com/science/article/pii/S0005109812000222 http://bura.brunel.ac.uk/handle/2438/6315 |
DOI: | http://dx.doi.org/10.1016/j.automatica.2012.01.008 |
ISSN: | 0005-1098 |
Appears in Collections: | Publications Computer Science Dept of Computer Science Research Papers |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Fulltext.pdf | 201.92 kB | Adobe PDF | View/Open |
Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.