Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/11406
Title: H∞ fault estimation with randomly occurring uncertainties, quantization effects and successive packet dropouts: The finite-horizon case
Authors: Li, Z
Wang, Z
Ding, D
Shu, H
Keywords: Finite horizon;Robust H∞fault estimation;Multiple stochastic delays;Randomly occurring uncertainties;Quantization effects;Successive packet dropouts
Issue Date: 2015
Publisher: John Wiley & Sons
Citation: International Journal of Robust and Nonlinear Control, 25(15): 2671 - 2686, (2015)
Abstract: In this paper, the finite-horizon H∞ fault estimation problem is investigated for a class of uncertain nonlinear time-varying systems subject to multiple stochastic delays. The randomly occurring uncertainties (ROUs) enter into the system due to the random fluctuations of network conditions. The measured output is quantized by a logarithmic quantizer before being transmitted to the fault estimator. Also, successive packet dropouts (SPDs) happen when the quantized signals are transmitted through an unreliable network medium. Three mutually independent sets of Bernoulli-distributed white sequences are introduced to govern the multiple stochastic delays, ROUs and SPDs. By employing the stochastic analysis approach, some sufficient conditions are established for the desired finite-horizon fault estimator to achieve the specified H∞ performance. The time-varying parameters of the fault estimator are obtained by solving a set of recursive linear matrix inequalities. Finally, an illustrative numerical example is provided to show the effectiveness of the proposed fault estimation approach.
URI: http://onlinelibrary.wiley.com/doi/10.1002/rnc.3221/abstract;jsessionid=1FF7D51CB9C0BC5E327AFC4E2770F670.f04t02
http://bura.brunel.ac.uk/handle/2438/11406
DOI: http://dx.doi.org/10.1002/rnc.3221
ISSN: 1049-8923
1099-1239
Appears in Collections:Dept of Computer Science Research Papers

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