Distributed quantized multi-modal H fusion filtering for two-time-scale systems

Yuan Yuan, Zidong Wang, Lei Guo

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

Abstract

In this paper, we deal with the distributed H fusion filtering problem for a class of discrete-time system with significant modal difference in the time-scale. The nonstandard singularly perturbed model (SPM) is employed to describe the addressed two-time-scale system, where the small perturbation parameter ε reflects the discrepancies in the time-scale. Some sufficient conditions are provided to guarantee the existence of the parameters of the local filters for the SPM, where O(ε2) (the second-order correction terms in ε) is eliminated and an upper bound of ε is calculated. To enhance the filtering accuracy and scalability, the estimates provided by the local filter are transmitted to the fusion centre via the communication network. In the presence of the bandwidth constraint, a quantized fusion scheme is developed and the design of the fusion parameters is cast into a convex optimization problem. Finally, an example on the F-8 airplane is provided to verify the validity and applicability of the proposed methodology.

Original languageEnglish
Pages (from-to)572-583
Number of pages12
JournalInformation Sciences
Volume432
DOIs
StatePublished - Mar 2018
Externally publishedYes

Keywords

  • Bandwidth limitation
  • Convex optimization
  • Logarithmic quantization
  • Multi-modal H fusion
  • Nonstandard singularly perturbed model

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