A Weightedly Uniform Detectability for Sensor Networks

@article{Li2018AWU,
  title={A Weightedly Uniform Detectability for Sensor Networks},
  author={Wangyan Li and G. Wei and D. Ho and D. Ding},
  journal={IEEE Transactions on Neural Networks and Learning Systems},
  year={2018},
  volume={29},
  pages={5790-5796}
}
  • Wangyan Li, G. Wei, +1 author D. Ding
  • Published 2018
  • Computer Science, Medicine
  • IEEE Transactions on Neural Networks and Learning Systems
    • In this brief, we study the detectability issues in the context of distributed state estimation problems for a class of locally undetectable sensor networks. First, we introduce a novel detectability condition, i.e., weightedly uniform detectability (WUD), which is a sufficient condition to prove that the error covariances of the consensus filtering are uniformly bounded even though the local sensor nodes are undetectable. Different from the existing detectability (or observability) conditions… CONTINUE READING
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    References

    SHOWING 1-10 OF 23 REFERENCES
    On the consistency and confidence of distributed dynamic state estimation in wireless sensor networks
    • Shaocheng Wang, W. Ren
    • Mathematics, Computer Science
    • 2015 54th IEEE Conference on Decision and Control (CDC)
    • 2015
    • 17
    • Highly Influential
    • PDF
    Partial-Nodes-Based State Estimation for Complex Networks With Unbounded Distributed Delays
    • 46
    A scheme for robust distributed sensor fusion based on average consensus
    • 1,267
    • Highly Influential
    • PDF
    Consensus-Based Linear and Nonlinear Filtering
    • 182
    • Highly Influential
    On Kalman-Consensus Filtering With Random Link Failures Over Sensor Networks
    • 62
    A distributed Kalman filter with global covariance
    • J. Sijs, M. Lazar
    • Mathematics, Computer Science
    • Proceedings of the 2011 American Control Conference
    • 2011
    • 9
    • PDF
    Distributed Kalman Filter with Embedded Consensus Filters
    • R. Olfati-Saber
    • Computer Science
    • Proceedings of the 44th IEEE Conference on Decision and Control
    • 2005
    • 881
    • PDF
    Event-Triggered State Estimation for Discrete-Time Multidelayed Neural Networks With Stochastic Parameters and Incomplete Measurements
    • B. Shen, Z. Wang, Hong Qiao
    • Mathematics, Computer Science
    • IEEE Transactions on Neural Networks and Learning Systems
    • 2017
    • 123
    • PDF
    Consensus Based Overlapping Decentralized Estimation With Missing Observations and Communication Faults
    • 77
    Distributed Fusion Estimation With Missing Measurements, Random Transmission Delays and Packet Dropouts
    • 109