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Abstract
This technical note addresses the distributed covariance intersection fusion estimation problem for a class of cyber-physical systems (CPSs), where the raw measurements are preprocessed in each sink node to obtain the local state estimates of a CPS. When each local estimate is transmitted to a remote fusion center (FC), the communication network between the sink node and the FC is subject to finite bandwidth, varying delays and packet dropouts. Based on a new communication constraint model covering all these network phenomena, a recursively distributed fusion estimator (DFE) is designed for the addressed CPSs. Since the estimation performance directly impacts the stability of control operation in CPSs, stability condition is derived such that the mean square error of the designed DFE is bounded, and it is proved that the DFE is independent of the initial values under certain conditions. The design procedure is illustrated using a numerical example.
| Original language | English |
|---|---|
| Pages (from-to) | 4020-4026 |
| Journal | IEEE Transactions on Automatic Control |
| Volume | 61 |
| Issue number | 12 |
| Online published | 8 Mar 2016 |
| DOIs | |
| Publication status | Published - Dec 2016 |
Research Keywords
- Communication constraints
- cyber-physical systems
- distributed fusion estimation
- Kalman filtering
- stability analysis
RGC Funding Information
- RGC-funded
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Dive into the research topics of 'Distributed Covariance Intersection Fusion Estimation for Cyber-Physical Systems with Communication Constraints'. Together they form a unique fingerprint.Projects
- 1 Finished
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GRF: Analysis and Control of Event-Based Decentralized Networked Coupled Systems Driven by Incomplete Information
HO, W. C. D. (Principal Investigator / Project Coordinator)
1/12/15 → 10/06/19
Project: Research