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• W2555939227 abstract "The information fusion estimation problems are investigated for uncertain systems with cross-correlated noises and data transmission delays. Based on Kalman filtering theory, a distributed fusion estimation scheme is proposed by distributed information perception and centralized fusion. To alleviate the communication burden and computational cost with network-induced transmission delays, the measurement transformation approach with re-organized innovation sequence is proposed. Depending on the fusion criterion, the optimal weighted fusion estimators are designed via minimizing error cross-covariance theory to reduce information redundancy and maintain the higher measurement accuracy. An illustrative example is given to validate the effectiveness of the proposed method." @default.
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• W2555939227 date "2016-08-01" @default.
• W2555939227 modified "2023-09-26" @default.
• W2555939227 title "Distributed fusion estimation for uncertain systems with cross-correlated noises and transmission delays" @default.
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• W2555939227 doi "https://doi.org/10.1109/control.2016.7737609" @default.
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