Consensus Information Filtering for Large-Scale Systems with Application to Heat Conduction Process
For large-scale distributed systems, the evolution of system dynamics is dominated by current states and boundary conditions simultaneously. This work describes a distributed consensus filtering for a class of large-scale distributed systems with unknown boundary conditions, which are monitored by a...
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2015/576341 |
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| _version_ | 1832550248145223680 |
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| author | Liguo Zhang Ying Lyu |
| author_facet | Liguo Zhang Ying Lyu |
| author_sort | Liguo Zhang |
| collection | DOAJ |
| description | For large-scale distributed systems, the evolution of system dynamics is dominated by current states and boundary conditions simultaneously. This work describes a distributed consensus filtering for a class of large-scale distributed systems with unknown boundary conditions, which are monitored by a set of sensors. Because of the difference of spatial positions among the sensor network, only the single state variables or both the states and outside input jointly could be estimates with Kalman information filtering, respectively. On diffusion processing, we fuse the common state estimations of the local information filters using consensus averaging algorithms and algebraic graph theory. Stability and performance analysis is provided for this distributed filtering algorithm. Finally, we consider an application of distributed estimation to a heat conduction process. The performance of the proposed distributed algorithm is compared to the centralized Kalman filtering. |
| format | Article |
| id | doaj-art-f51bb5ce92434892ac84e22fc2541e40 |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-f51bb5ce92434892ac84e22fc2541e402025-02-03T06:07:19ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2015-01-01201510.1155/2015/576341576341Consensus Information Filtering for Large-Scale Systems with Application to Heat Conduction ProcessLiguo Zhang0Ying Lyu1School of Electronic and Control Engineering, Beijing University of Technology, Beijing 100124, ChinaSchool of Science, Communication University of China, Beijing 100024, ChinaFor large-scale distributed systems, the evolution of system dynamics is dominated by current states and boundary conditions simultaneously. This work describes a distributed consensus filtering for a class of large-scale distributed systems with unknown boundary conditions, which are monitored by a set of sensors. Because of the difference of spatial positions among the sensor network, only the single state variables or both the states and outside input jointly could be estimates with Kalman information filtering, respectively. On diffusion processing, we fuse the common state estimations of the local information filters using consensus averaging algorithms and algebraic graph theory. Stability and performance analysis is provided for this distributed filtering algorithm. Finally, we consider an application of distributed estimation to a heat conduction process. The performance of the proposed distributed algorithm is compared to the centralized Kalman filtering.http://dx.doi.org/10.1155/2015/576341 |
| spellingShingle | Liguo Zhang Ying Lyu Consensus Information Filtering for Large-Scale Systems with Application to Heat Conduction Process Discrete Dynamics in Nature and Society |
| title | Consensus Information Filtering for Large-Scale Systems with Application to Heat Conduction Process |
| title_full | Consensus Information Filtering for Large-Scale Systems with Application to Heat Conduction Process |
| title_fullStr | Consensus Information Filtering for Large-Scale Systems with Application to Heat Conduction Process |
| title_full_unstemmed | Consensus Information Filtering for Large-Scale Systems with Application to Heat Conduction Process |
| title_short | Consensus Information Filtering for Large-Scale Systems with Application to Heat Conduction Process |
| title_sort | consensus information filtering for large scale systems with application to heat conduction process |
| url | http://dx.doi.org/10.1155/2015/576341 |
| work_keys_str_mv | AT liguozhang consensusinformationfilteringforlargescalesystemswithapplicationtoheatconductionprocess AT yinglyu consensusinformationfilteringforlargescalesystemswithapplicationtoheatconductionprocess |