@inproceedings{7081ab1bbf5648178e7cb070b5c13613,
title = "A sub-optimal distributed Kalman filter with fusion feedback for acyclic systems",
abstract = "In this paper, a new distributed Kalman filter is proposed for state estimation of systems with acyclic digraph, namely acyclic systems. This method can be applied to a number of large-scale systems including sensor networks and formation flying missions. An acyclic system can be represented by an overlapping block-diagonal state space (OBDSS) model, which requires an extensive communication overhead for implementing a centralized Kalman filter scheme. The OBDSS model is transformed into our proposed constrained-state block-diagonal state space (CSBDSS) model, which is purely diagonal and simplifies the implementation of a distributed Kalman filter scheme. Corresponding to each Kalman filter iteration a specific constrained-state condition needs to be satisfied that is embedded with a fusion feedback. Simulation results confirm the effectiveness of our proposed analytical work.",
author = "Azizi, {S. M.} and K. Khorasani",
year = "2009",
doi = "10.1109/CDC.2009.5400121",
language = "English (US)",
isbn = "9781424438716",
series = "Proceedings of the IEEE Conference on Decision and Control",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "5151--5157",
booktitle = "Proceedings of the 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009",
address = "United States",
note = "48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009 ; Conference date: 15-12-2009 Through 18-12-2009",
}