Robust weighted H∞ filtering for networked systems with intermittent measurements of multiple sensors |
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Authors: | Hui Zhang Yang Shi Aryan Saadat Mehr |
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Affiliation: | 1. Department of Mechanical Engineering, University of Victoria, PO Box 3055, STN CSC, BC, Canada V8W 3P6;2. Department of Electrical and Computer Engineering, University of Saskatchewan, 57 Campus Drive, Saskatoon, SK, Canada S7N 5A9 |
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Abstract: | In this paper, we investigate the robust weighted H∞ filtering problem for networked systems with intermittent measurements under the discrete‐time framework. Multiple outputs of the plant are measured by separate sensors, each of which has a specific failure rate. Network‐induced delay, packet dropouts and network‐induced disorder phenomena are all incorporated in the modeling of the network link. The resulting closed‐loop system involves both delayed noise and non‐delayed noise. In order to make full use of the delayed information, we define a weighted H∞ performance index. Sufficient delay‐dependent and parameter‐dependent conditions for the existence of the filter and the solvability of the addressed problem are given via a set of linear matrix inequalities. Two simulation examples are presented to illustrate the relationship between the minimal performance level and the weighting factor, which show the effectiveness of the proposed method. Copyright © 2010 John Wiley & Sons, Ltd. |
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Keywords: | robust filtering weighted H∞ networked systems multiple sensor faults |
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