Journal
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
Volume 27, Issue 18, Pages 4208-4226Publisher
WILEY
DOI: 10.1002/rnc.3790
Keywords
nonlinear systems; event-triggered state estimation; unscented Kalman filter; packet dropout
Funding
- National Natural Science Foundation of China [61403330, 61573301]
- Postdoctoral Science Foundation of China [2014M551052]
- Natural Science Fund of Hebei Provincial [F2015203163]
- Natural Science Foundation of Hebei Education Department [QN2014068]
- Science Fund for Distinguished Young Scholars of Hebei Province [F2016203148]
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In this paper, the event-triggered nonlinear filtering problem is investigated for nonlinear dynamic systems over a wireless sensor network with packet dropout. Measurements are transmitted to a remote estimator only when a specific event happens for a reduction of communication cost. An event-triggered unscented Kalman filter related to trigger threshold is derived. It is shown that the prediction error covariance of the proposed filter is bounded and converges to a steady value if the threshold and packet dropout rate are small enough. Sufficient conditions are obtained to ensure stochastic stability of the filter, where a critical value of the threshold exists. Two examples are given to illustrate the effectiveness of the proposed filter. Copyright (c) 2017 John Wiley & Sons, Ltd.
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