Distributed H∞-consensus filtering for a networked time-delay system with switching network topology and packet dropouts
Author(s)
Qu, H
Yang, F
Han, QL
Griffith University Author(s)
Year published
2018
Metadata
Show full item recordAbstract
This paper is concerned with the distributed H∞-consensus filtering problem for a networked system with random and time-varying state delays, switching network topology and different communication channels-induced packet dropouts with different missing rates. The purpose of the addressed problem is to design a distributed H∞-consensus filter to guarantee the robustness of the filtering error system to both random and time-varying state delays, different communication channels-induced packet losses and switching network topology, and the minimization of the consensus-based estimation deviations in the H∞ sense. On the basis ...
View more >This paper is concerned with the distributed H∞-consensus filtering problem for a networked system with random and time-varying state delays, switching network topology and different communication channels-induced packet dropouts with different missing rates. The purpose of the addressed problem is to design a distributed H∞-consensus filter to guarantee the robustness of the filtering error system to both random and time-varying state delays, different communication channels-induced packet losses and switching network topology, and the minimization of the consensus-based estimation deviations in the H∞ sense. On the basis of the T-S fuzzy approach and the Lyapunov functional, distributed H∞-consensus filter design criteria are derived such that the filtering error system is mean-square stochastically stable, and an optimal H∞ disturbance rejection attenuation performance index is achieved for the consensus-based estimation deviations. A simulation example is conducted to verify the usefulness of the proposed filter design approach.
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View more >This paper is concerned with the distributed H∞-consensus filtering problem for a networked system with random and time-varying state delays, switching network topology and different communication channels-induced packet dropouts with different missing rates. The purpose of the addressed problem is to design a distributed H∞-consensus filter to guarantee the robustness of the filtering error system to both random and time-varying state delays, different communication channels-induced packet losses and switching network topology, and the minimization of the consensus-based estimation deviations in the H∞ sense. On the basis of the T-S fuzzy approach and the Lyapunov functional, distributed H∞-consensus filter design criteria are derived such that the filtering error system is mean-square stochastically stable, and an optimal H∞ disturbance rejection attenuation performance index is achieved for the consensus-based estimation deviations. A simulation example is conducted to verify the usefulness of the proposed filter design approach.
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Conference Title
ANZCC 2018 - 2018 Australian and New Zealand Control Conference
Subject
Artificial intelligence