Imperial College London
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Prof David Angeli

Faculty of Engineering, Department of Electrical and Electronic Engineering

Professor of Nonlinear Network Dynamics
 
 
 
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Contact

 

+44 (0)20 7594 6283d.angeli Website

 
 
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Location

 

1107CElectrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Angeli:2021:10.1109/lcsys.2021.3082025,
author = {Angeli, D and Manfredi, S},
doi = {10.1109/lcsys.2021.3082025},
journal = {IEEE Control Systems Letters},
pages = {494--499},
title = {A resilient consensus protocol for networks with heterogeneous confidence and Byzantine adversaries},
url = {http://dx.doi.org/10.1109/lcsys.2021.3082025},
volume = {6},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - A class of Adversary Robust Consensus protocols is proposed and analyzed. These are inherently nonlinear, distributed, continuous-time algorithms for multi-agents systems seeking to agree on a common value of a shared variable, in the presence of faulty or malicious Byzantine agents, disregarding protocol rules and communicating arbitrary possibly differing values to neighboring agents. We adopt monotone joint-agent interactions, a general mechanism for processing locally available information and allowing cross-comparisons between state-values of multiple agents simultaneously. The topological features of the network are abstracted as a Petri Net and convergence criteria for the resulting time evolutions formulated in terms of suitable structural properties of its invariants (so called siphons). Finally, simulation results and examples/counterexamples are discussed.
AU  - Angeli,D
AU  - Manfredi,S
DO  - 10.1109/lcsys.2021.3082025
EP  - 499
PY  - 2021///
SN  - 2475-1456
SP  - 494
TI  - A resilient consensus protocol for networks with heterogeneous confidence and Byzantine adversaries
T2  - IEEE Control Systems Letters
UR  - http://dx.doi.org/10.1109/lcsys.2021.3082025
UR  - https://ieeexplore.ieee.org/document/9435616
UR  - http://hdl.handle.net/10044/1/90400
VL  - 6
ER  -
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