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Li, Li; Yu, Dongdong; Xia, Yuanqing; Yang, Hongjiu

Event-triggered UKF for nonlinear dynamic systems with packet dropout. (English) Zbl 1379.93092

Int. J. Robust Nonlinear Control 27, No. 18, 4208-4226 (2017).
Summary: 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.

Cited in 14 Documents

MSC:

93E11 Filtering in stochastic control theory
93E10 Estimation and detection in stochastic control theory
93E15 Stochastic stability in control theory
93C65 Discrete event control/observation systems
93C10 Nonlinear systems in control theory
93C55 Discrete-time control/observation systems

Keywords:

nonlinear systems; event-triggered state estimation; unscented Kalman filter; packet dropout
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References:

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