- Title
- Quantized H∞ filtering for different communication channels
- Creator
- Lu, Renquan; Li, Hui; Xue, Anke; Zheng, Jinchuan; She, Qingshan
- Relation
- Circuits Systems and Signal Processing Vol. 31, Issue 2, p. 501-519
- Publisher Link
- http://dx.doi.org/10.1007/s00034-011-9323-8
- Publisher
- Springer
- Resource Type
- journal article
- Date
- 2012
- Description
- 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.
- Subject
- H∞ filter; quantizer; ideal channel; unreliable channel; data packet dropout
- Identifier
- http://hdl.handle.net/1959.13/1327430
- Identifier
- uon:25662
- Identifier
- ISSN:0278-081X
- Language
- eng
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