Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.3/230970

Title

Quantized H-infinity filtering for different communication channels

Author(s)

Lu, Renquan;  Li, Hui;  Xue, Anke;  Zheng, Jinchuan;  She, Qingshan

Abstract

In this paper, we consider the H∞ filtering problem for linear systems using quantized measurements. The communication channel we consider consists of two cases: the ideal one and the unreliable one. For the ideal channel, we designed a filter to mitigate the quantization effects, which ensured not only the asymptotical stability but also a prescribed H∞ filtering performance. For the unreliable channel, we introduced the stochastic variable satisfying Bernoulli random binary distribution to model the lossy measurements. We also designed a filter to cope with the losses and mitigate quantization effects simultaneously which ensured not only stochastic stability, but also a prescribed H∞ filtering performance. Furthermore, we derive sufficient conditions for the existence of the above filters. Finally, a numerical example is given to illustrate that the proposed approach is effective and feasible.

Publication type

Journal article

Source

Circuits, Systems, and Signal Processing, Vol. 31, no. 2 (Apr 2012), pp. 501-519

Publication year

2012

FOR Code(s)

0102 Applied Mathematics;  0906 Electrical and Electronic Engineering

Keyword(s)

Data packet dropout;  H-infinity filter;  Ideal channel;  Quantizer;  Unreliable channel

Publisher

Birkhaeuser

ISSN

0278-081X

Publisher URL

http://dx.doi.org/10.1007/s00034-011-9323-8

Copyright

Copyright © Springer Science+Business Media, LLC 2011.

Peer reviewed