Please use this identifier to cite or link to this item: https://doi.org/10.1109/TCST.2012.2198650
Title: Multiagent information fusion and cooperative control in target search
Authors: Hu, J.
Xie, L.
Lum, K.-Y. 
Xu, J.
Keywords: Cooperative control
distributed fusion
multiagent network
target search
unmanned aerial vehicles (UAVs)
Issue Date: 2013
Citation: Hu, J., Xie, L., Lum, K.-Y., Xu, J. (2013). Multiagent information fusion and cooperative control in target search. IEEE Transactions on Control Systems Technology 21 (4) : 1223-1235. ScholarBank@NUS Repository. https://doi.org/10.1109/TCST.2012.2198650
Abstract: This paper addresses cooperative search for multiple stationary ground targets by a group of unmanned aerial vehicles with limited sensing and communication capabilities. The whole surveillance region is partitioned into cells where each cell is associated with a probability of target existence within the cell, which constitutes a probability map for the whole region. Each agent keeps an individual probability map and updates the map individually with measurements according to Bayesian rule. A nonlinear transformation of the probability map is introduced to simplify the computation by linearizing the Bayesian update. A consensus-like distributed fusion scheme is proposed for multiagent map fusion. We prove that all the individual probability maps converge to the same one that reflects the true existence or nonexistence of targets within each cell. Coverage and topology control algorithms are designed for the path planning of mobile agents. Moreover, the performance of the fusion scheme for asynchronous implementations of sampling and communication is analyzed. Finally, the effectiveness of the proposed algorithms is illustrated via simulations. © 1993-2012 IEEE.
Source Title: IEEE Transactions on Control Systems Technology
URI: http://scholarbank.nus.edu.sg/handle/10635/111441
ISSN: 10636536
DOI: 10.1109/TCST.2012.2198650
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