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- W2890784875 abstract "This paper proposes a distributed guaranteed-performance event-triggered average consensus (GP-ETAC) algorithm for multi-agent/sensor networks. The proposed GP-ETAC approach is distributed and event-triggered in the sense that the agents selectively limit their transmissions to local neighbourhoods when certain triggering conditions are satisfied. Using the Lyapunov stability theorem, a novel cost function is optimized to compute consensus design parameters (namely, the overall control gain and local event-triggering thresholds). The proposed cost function provides a structured trade-off between the number of local transmissions and the rate of consensus convergence. The performance of the GP-ETAC approach is evaluated through Monte-Carlo simulations." @default.
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- W2890784875 date "2018-04-01" @default.
- W2890784875 modified "2023-09-24" @default.
- W2890784875 title "An Event-Triggered Average Consensus Algorithm with Performance Guarantees for Distributed Sensor Networks" @default.
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- W2890784875 doi "https://doi.org/10.1109/icassp.2018.8462664" @default.
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