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EnglishIn this paper, a resilient distributed control scheme against replay attacks for multi-agent networked systems subject to input and state constraints is proposed. The methodological starting point relies on a smart use of predictive arguments with a twofold aim: 1) Promptly detect malicious agent behaviors affecting normal system operations; 2) Apply specific control actions, based on predictive ideas, for mitigating as much as possible undesirable domino effects resulting from adversary operations. Specifically, the multi-agent system is topologically described by a leader-follower digraph characterized by a unique leader and set-theoretic receding horizon control ideas are exploited to develop a distributed algorithm capable to instantaneously recognize the attacked agent. Finally, numerical simulations are carried out to show benefits and effectiveness of the proposed approach.
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| Titolo: | Resilience against Replay Attacks: A Distributed Model Predictive Control Scheme for Networked Multi-Agent Systems |
| Autori: | |
| Data di pubblicazione: | 2021 |
| Rivista: | |
| Handle: | http://hdl.handle.net/20.500.11770/314915 |
| Appare nelle tipologie: | 1.1 Articolo in rivista |
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