Abstract
In networked control systems, when data are transmitted over wireless channels, measurements of the transmitted data are often incomplete due to transmission errors and/or packet losses. The problem of designing reduced-order Hinfin filters for discrete-time systems from incomplete measurements is investigated in this paper. A Bernoulli distributed white sequence is adopted as a model for the normal operating condition of packet delivery and transmission failure. The reduced-order filter to be designed from incomplete measurements is required to to ensure the mean-square stability of the filtering error system and to guarantee a prescribed Hinfin filtering performance level. It is shown that such a desired reduced-order Hinfin filter can be constructed under a sufficient condition expressed in terms of two linear matrix inequalities (LMIs) subject to a rank constraint.
| Original language | English |
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| Title of host publication | Proceedings of the 47th IEEE Conference on Decision & Control, held in Cancun, Mexico, 9-11 December, 2008 |
| Publisher | IEEE |
| Number of pages | 6 |
| ISBN (Print) | 9781424431243 |
| Publication status | Published - 2008 |
| Event | IEEE Conference on Decision and Control - Duration: 12 Dec 2017 → … |
Conference
| Conference | IEEE Conference on Decision and Control |
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| Period | 12/12/17 → … |
Keywords
- adaptive filters
- signal processing
- noise
- discrete-time systems
- parameter estimation
- wireless communication systems