Fault estimation with biased process noise covariances

@article{Zhao2017FaultEW,
  title={Fault estimation with biased process noise covariances},
  author={Ye Zhao and Xiao He and Donghua Zhou},
  journal={2017 36th Chinese Control Conference (CCC)},
  year={2017},
  pages={7190-7195}
}
Fault estimation with performance analysis is investigated in the least squares sense for a class of time-varying systems with event-triggered measurement transmission and biased process noise covariances. In most other work, process noise covariance is assumed as either completely known. In this paper, we relax the assumption of knowing the exact process noise covariance and apply an event-triggered strategy when considering the measurement output transmission to remote estimator. A filter is… CONTINUE READING

From This Paper

Figures, tables, results, connections, and topics extracted from this paper.
1 Extracted Citations
12 Extracted References
Similar Papers

Citing Papers

Publications influenced by this paper.

Referenced Papers

Publications referenced by this paper.
Showing 1-10 of 12 references

Event-triggered least squares fault estimation with stochastic nonlinearities

  • Y. Liu, Z. Wang, X. He, D. H. Zhou
  • I- FAC Proceedings Volumes,
  • 2014
2 Excerpts

Similar Papers

Loading similar papers…