Event-Based H∞ Filter Design for Sensor Networks with Missing Measurements
In order to save network resources and network bandwidth, this paper proposed an event triggered mechanism based on sampled-data information, which has some advantages over existing ones. Considering the missing sensor measurements and the network-induced delay in the transmission, we construct a ne...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | Abstract and Applied Analysis |
| Online Access: | http://dx.doi.org/10.1155/2014/512037 |
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| _version_ | 1832561248574636032 |
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| author | Jinliang Liu Shumin Fei Engang Tian |
| author_facet | Jinliang Liu Shumin Fei Engang Tian |
| author_sort | Jinliang Liu |
| collection | DOAJ |
| description | In order to save network resources and network bandwidth, this paper proposed an event triggered mechanism based on sampled-data information, which has some advantages over existing ones. Considering the missing sensor measurements and the network-induced delay in the transmission, we construct a new event-based H∞ filtering by taking the effect of sensor faults with different failure rates. By using the Lyapunov stability theory and the stochastic analysis theory, sufficient criteria are derived for the existence of a solution to the algorithm of the event-based filter design. Finally, an example is exploited to illustrate the effectiveness of the proposed method. |
| format | Article |
| id | doaj-art-d5cb5f7ddcc64023bf2342c8ddb95ed3 |
| institution | Kabale University |
| issn | 1085-3375 1687-0409 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Abstract and Applied Analysis |
| spelling | doaj-art-d5cb5f7ddcc64023bf2342c8ddb95ed32025-02-03T01:25:35ZengWileyAbstract and Applied Analysis1085-33751687-04092014-01-01201410.1155/2014/512037512037Event-Based H∞ Filter Design for Sensor Networks with Missing MeasurementsJinliang Liu0Shumin Fei1Engang Tian2Department of Applied Mathematics, Nanjing University of Finance and Economics, Nanjing, Jiangsu 210023, ChinaSchool of Automation, Southeast University, Nanjing 210096, ChinaInstitute of Information and Control Engineering Technology, Nanjing Normal University, Nanjing, Jiangsu 210042, ChinaIn order to save network resources and network bandwidth, this paper proposed an event triggered mechanism based on sampled-data information, which has some advantages over existing ones. Considering the missing sensor measurements and the network-induced delay in the transmission, we construct a new event-based H∞ filtering by taking the effect of sensor faults with different failure rates. By using the Lyapunov stability theory and the stochastic analysis theory, sufficient criteria are derived for the existence of a solution to the algorithm of the event-based filter design. Finally, an example is exploited to illustrate the effectiveness of the proposed method.http://dx.doi.org/10.1155/2014/512037 |
| spellingShingle | Jinliang Liu Shumin Fei Engang Tian Event-Based H∞ Filter Design for Sensor Networks with Missing Measurements Abstract and Applied Analysis |
| title | Event-Based H∞ Filter Design for Sensor Networks with Missing Measurements |
| title_full | Event-Based H∞ Filter Design for Sensor Networks with Missing Measurements |
| title_fullStr | Event-Based H∞ Filter Design for Sensor Networks with Missing Measurements |
| title_full_unstemmed | Event-Based H∞ Filter Design for Sensor Networks with Missing Measurements |
| title_short | Event-Based H∞ Filter Design for Sensor Networks with Missing Measurements |
| title_sort | event based h∞ filter design for sensor networks with missing measurements |
| url | http://dx.doi.org/10.1155/2014/512037 |
| work_keys_str_mv | AT jinliangliu eventbasedhfilterdesignforsensornetworkswithmissingmeasurements AT shuminfei eventbasedhfilterdesignforsensornetworkswithmissingmeasurements AT engangtian eventbasedhfilterdesignforsensornetworkswithmissingmeasurements |