Network systems are one of the most active research areas in the engineering community as they feature a paradigm shift from centralized to distributed control and computation. When dealing with network systems, a fundamental challenge is to ensure their functioning even when some of the network nodes do not operate as intended due to faults or attacks. The objective of this paper is to address the problem of resilient consensus in a context where the nodes have their own clocks, possibly operating in an asynchronous way, and can make updates at arbitrary time instants. The results represent a first step towards the development of resilient event-triggered and self-triggered coordination protocols.

Resilience against Misbehaving Nodes in Self-triggered Coordination Networks / Senejohnny D.; Sundaram S.; De Persis C.; Tesi P.. - ELETTRONICO. - 2018-:(2019), pp. 2848-2853. (Intervento presentato al convegno 57th IEEE Conference on Decision and Control, CDC 2018 tenutosi a Centre of the Fontainebleau in Miami Beach, usa nel 2018) [10.1109/CDC.2018.8619599].

Resilience against Misbehaving Nodes in Self-triggered Coordination Networks

Tesi P.
2019

Abstract

Network systems are one of the most active research areas in the engineering community as they feature a paradigm shift from centralized to distributed control and computation. When dealing with network systems, a fundamental challenge is to ensure their functioning even when some of the network nodes do not operate as intended due to faults or attacks. The objective of this paper is to address the problem of resilient consensus in a context where the nodes have their own clocks, possibly operating in an asynchronous way, and can make updates at arbitrary time instants. The results represent a first step towards the development of resilient event-triggered and self-triggered coordination protocols.
2019
Proceedings of the IEEE Conference on Decision and Control
57th IEEE Conference on Decision and Control, CDC 2018
Centre of the Fontainebleau in Miami Beach, usa
2018
Senejohnny D.; Sundaram S.; 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/2158/1166901
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