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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Meiqin Liu Li, X.R. |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Electrical Engineering, University of New Orleans, LA 70148, USA (Li, X.R.) || College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China (Meiqin Liu) |
| Abstract | This paper investigates fusion filtering problems for time-delayed systems with multiple sensors of saturation nonlinearity, where process noise and measurement noise have unknown statistical characteristics but bounded energy. The internal asymptotic stability of the fusion error system in the absence of process noise and measurement noise is analyzed first. Then based on the H∞ performance analysis of multi-sensor time-delayed fusion error systems, centralized and distributed fusion filters are designed to guarantee the asymptotic stability of the fusion error systems and to minimize the effect of the noise signals on the filtering error. The parameters of these filters can be obtained from the solution of convex optimization problems in terms of linear matrix inequalities, which can be solved via efficient interior-point algorithms. A numerical example is given to demonstrate the effectiveness and applicability of the proposed designs. |
| Starting Page | 1520 |
| Ending Page | 1527 |
| File Size | 470223 |
| Page Count | 8 |
| File Format | |
| ISBN | 9780982443804 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-06 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | ISIF |
| Subject Keyword | Filtering Noise measurement Asymptotic stability Filters Noise robustness Sensor fusion Sensor phenomena and characterization Sensor systems Energy measurement Performance analysis optimization H⋡ fusion filtering linear matrix inequality (LMI) multi-sensor fusion nonlinear sensors |
| Content Type | Text |
| Resource Type | Article |
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