A Weightedly Uniform Detectability for Sensor Networks

  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},
  • 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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