Robust Fusion Filtering for Multisensor Time-Varying Uncertain Systems: The Finite Horizon Case
The robust H∞ fusion filtering problem is considered for linear time-varying uncertain systems observed by multiple sensors. A performance index function for this problem is defined as an indefinite quadratic inequality which is solved by the projection method in Krein space. On this basis, a robust...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2016-01-01
|
| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2016/2720549 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832549233213833216 |
|---|---|
| author | Xiaoliang Feng Funa Zhou Chenglin Wen |
| author_facet | Xiaoliang Feng Funa Zhou Chenglin Wen |
| author_sort | Xiaoliang Feng |
| collection | DOAJ |
| description | The robust H∞ fusion filtering problem is considered for linear time-varying uncertain systems observed by multiple sensors. A performance index function for this problem is defined as an indefinite quadratic inequality which is solved by the projection method in Krein space. On this basis, a robust centralized finite horizon H∞ fusion filtering algorithm is proposed. However, this centralized fusion method is with poor real time property, as the number of sensors increases. To resolve this difficulty, within the sequential fusion framework, the performance index function is described as a set of quadratic inequalities including an indefinite quadratic inequality. And a sequential robust finite horizon H∞ fusion filtering algorithm is given by solving this quadratic inequality group. Finally, two simulation examples for time-varying/time-invariant multisensor systems are exploited to demonstrate the effectiveness of the proposed methods in the respect of the real time property and filtering accuracy. |
| format | Article |
| id | doaj-art-60e8753e83684773a6f0f8ae89820c32 |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-60e8753e83684773a6f0f8ae89820c322025-02-03T06:11:45ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2016-01-01201610.1155/2016/27205492720549Robust Fusion Filtering for Multisensor Time-Varying Uncertain Systems: The Finite Horizon CaseXiaoliang Feng0Funa Zhou1Chenglin Wen2College of Electrical Engineering, Henan University of Technology, Zhengzhou 450001, ChinaSchool of Computer and Information Engineering, Henan University, Kaifeng 475004, ChinaCollege of Electrical Engineering, Henan University of Technology, Zhengzhou 450001, ChinaThe robust H∞ fusion filtering problem is considered for linear time-varying uncertain systems observed by multiple sensors. A performance index function for this problem is defined as an indefinite quadratic inequality which is solved by the projection method in Krein space. On this basis, a robust centralized finite horizon H∞ fusion filtering algorithm is proposed. However, this centralized fusion method is with poor real time property, as the number of sensors increases. To resolve this difficulty, within the sequential fusion framework, the performance index function is described as a set of quadratic inequalities including an indefinite quadratic inequality. And a sequential robust finite horizon H∞ fusion filtering algorithm is given by solving this quadratic inequality group. Finally, two simulation examples for time-varying/time-invariant multisensor systems are exploited to demonstrate the effectiveness of the proposed methods in the respect of the real time property and filtering accuracy.http://dx.doi.org/10.1155/2016/2720549 |
| spellingShingle | Xiaoliang Feng Funa Zhou Chenglin Wen Robust Fusion Filtering for Multisensor Time-Varying Uncertain Systems: The Finite Horizon Case Discrete Dynamics in Nature and Society |
| title | Robust Fusion Filtering for Multisensor Time-Varying Uncertain Systems: The Finite Horizon Case |
| title_full | Robust Fusion Filtering for Multisensor Time-Varying Uncertain Systems: The Finite Horizon Case |
| title_fullStr | Robust Fusion Filtering for Multisensor Time-Varying Uncertain Systems: The Finite Horizon Case |
| title_full_unstemmed | Robust Fusion Filtering for Multisensor Time-Varying Uncertain Systems: The Finite Horizon Case |
| title_short | Robust Fusion Filtering for Multisensor Time-Varying Uncertain Systems: The Finite Horizon Case |
| title_sort | robust fusion filtering for multisensor time varying uncertain systems the finite horizon case |
| url | http://dx.doi.org/10.1155/2016/2720549 |
| work_keys_str_mv | AT xiaoliangfeng robustfusionfilteringformultisensortimevaryinguncertainsystemsthefinitehorizoncase AT funazhou robustfusionfilteringformultisensortimevaryinguncertainsystemsthefinitehorizoncase AT chenglinwen robustfusionfilteringformultisensortimevaryinguncertainsystemsthefinitehorizoncase |