This paper studies network coordination over noisy communication channels. The communication between network nodes is corrupted by unknown but bounded noises, which may arise from low-quality channels and/or malicious attacks in the form of data manipulation. We propose a novel coordination scheme, which ensures practical consensus in the noiseless case, while preserving boundedness and coordination properties in the noisy case. The proposed scheme does not require any global information about the network parameters and/or the operating environment (the noise characteristics). Moreover, the communication between nodes occurs only at discrete time instants, and nodes can sample independently and in an a periodic manner, which renders the scheme suitable for practical implementation in distributed sensor networks.

Self-triggered network coordination over noisy communication channels / Shi, M.; De Persis, C.; Tesi, P.. - STAMPA. - 2018-:(2017), pp. 3942-3947. ( 56th IEEE Annual Conference on Decision and Control, CDC 2017 Melbourne Convention and Exhibition Centre (MCEC), aus 2017) [10.1109/CDC.2017.8264239].

Self-triggered network coordination over noisy communication channels

Tesi, P.
2017

Abstract

This paper studies network coordination over noisy communication channels. The communication between network nodes is corrupted by unknown but bounded noises, which may arise from low-quality channels and/or malicious attacks in the form of data manipulation. We propose a novel coordination scheme, which ensures practical consensus in the noiseless case, while preserving boundedness and coordination properties in the noisy case. The proposed scheme does not require any global information about the network parameters and/or the operating environment (the noise characteristics). Moreover, the communication between nodes occurs only at discrete time instants, and nodes can sample independently and in an a periodic manner, which renders the scheme suitable for practical implementation in distributed sensor networks.
2017
2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
56th IEEE Annual Conference on Decision and Control, CDC 2017
Melbourne Convention and Exhibition Centre (MCEC), aus
2017
Shi, M.; De Persis, C.; Tesi, P.
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1139355
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