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Event-triggered nonlinear filtering for networked systems with correlated noises. (English) Zbl 1451.93240

Summary: This paper focuses on the filtering problem for nonlinear networked systems with event-triggered data transmission and correlated noises. An event-triggered data transmission mechanism is introduced to reduce excessive measurements transmitted over a bandwidth-constrained network. Considering that process noise and measurement noise are one-step cross-correlated, an UKF-based filtering algorithm which depends on correlation parameter and trigger threshold is presented. Then sufficient conditions are established to ensure stability of the designed filter, where a critical value of the correlation parameter exists. Finally, the effectiveness of the proposed filtering algorithm is demonstrated by comparative simulations.

MSC:

93C65 Discrete event control/observation systems
93E11 Filtering in stochastic control theory
93B70 Networked control
93C10 Nonlinear systems in control theory
Full Text: DOI

References:

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