Distributed H∞ Consensus Filtering for Parabolic Distributed Parameter Systems with Multiple Missing Measurements: A Mobile Sensing Approach
This paper investigates the distributed H∞ consensus filtering issue for a class of distributed parameter systems with bounded disturbance. In a framework of optimizing performance, a new approach to improving filter performance is proposed by employing mobile sensor networks. Moreover, the informat...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-01-01
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| Series: | Journal of Control Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2023/9740248 |
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| _version_ | 1850217540837441536 |
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| author | Xueming Qian Baotong Cui |
| author_facet | Xueming Qian Baotong Cui |
| author_sort | Xueming Qian |
| collection | DOAJ |
| description | This paper investigates the distributed H∞ consensus filtering issue for a class of distributed parameter systems with bounded disturbance. In a framework of optimizing performance, a new approach to improving filter performance is proposed by employing mobile sensor networks. Moreover, the information missing in mobile sensor networks is modeled as a conditional probability distribution. The aim of the filtering challenge is to construct a distributed consensus filter such that the filtering error system is globally asymptotically stable in the mean square, and what disturbances do to the estimation accuracy is attenuated at the H∞ consensus performance level. Utilizing the Lyapunov direct approach and the spatial operator technique, several sufficient criteria are given for the proposed filter to satisfy the H∞ consensus performance constraint. Finally, a numerical simulation is given to demonstrate the effectiveness of the design scheme of the proposed filter. |
| format | Article |
| id | doaj-art-3a79233b845d4eb7a55e8eea56827597 |
| institution | OA Journals |
| issn | 1687-5257 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Control Science and Engineering |
| spelling | doaj-art-3a79233b845d4eb7a55e8eea568275972025-08-20T02:08:01ZengWileyJournal of Control Science and Engineering1687-52572023-01-01202310.1155/2023/9740248Distributed H∞ Consensus Filtering for Parabolic Distributed Parameter Systems with Multiple Missing Measurements: A Mobile Sensing ApproachXueming Qian0Baotong Cui1School of Internet of ThingsSchool of Internet of Things EngineeringThis paper investigates the distributed H∞ consensus filtering issue for a class of distributed parameter systems with bounded disturbance. In a framework of optimizing performance, a new approach to improving filter performance is proposed by employing mobile sensor networks. Moreover, the information missing in mobile sensor networks is modeled as a conditional probability distribution. The aim of the filtering challenge is to construct a distributed consensus filter such that the filtering error system is globally asymptotically stable in the mean square, and what disturbances do to the estimation accuracy is attenuated at the H∞ consensus performance level. Utilizing the Lyapunov direct approach and the spatial operator technique, several sufficient criteria are given for the proposed filter to satisfy the H∞ consensus performance constraint. Finally, a numerical simulation is given to demonstrate the effectiveness of the design scheme of the proposed filter.http://dx.doi.org/10.1155/2023/9740248 |
| spellingShingle | Xueming Qian Baotong Cui Distributed H∞ Consensus Filtering for Parabolic Distributed Parameter Systems with Multiple Missing Measurements: A Mobile Sensing Approach Journal of Control Science and Engineering |
| title | Distributed H∞ Consensus Filtering for Parabolic Distributed Parameter Systems with Multiple Missing Measurements: A Mobile Sensing Approach |
| title_full | Distributed H∞ Consensus Filtering for Parabolic Distributed Parameter Systems with Multiple Missing Measurements: A Mobile Sensing Approach |
| title_fullStr | Distributed H∞ Consensus Filtering for Parabolic Distributed Parameter Systems with Multiple Missing Measurements: A Mobile Sensing Approach |
| title_full_unstemmed | Distributed H∞ Consensus Filtering for Parabolic Distributed Parameter Systems with Multiple Missing Measurements: A Mobile Sensing Approach |
| title_short | Distributed H∞ Consensus Filtering for Parabolic Distributed Parameter Systems with Multiple Missing Measurements: A Mobile Sensing Approach |
| title_sort | distributed h∞ consensus filtering for parabolic distributed parameter systems with multiple missing measurements a mobile sensing approach |
| url | http://dx.doi.org/10.1155/2023/9740248 |
| work_keys_str_mv | AT xuemingqian distributedhconsensusfilteringforparabolicdistributedparametersystemswithmultiplemissingmeasurementsamobilesensingapproach AT baotongcui distributedhconsensusfilteringforparabolicdistributedparametersystemswithmultiplemissingmeasurementsamobilesensingapproach |