Numerically Efficient Agents-to-Group H∞ Analysis (CROSBI ID 724504)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Nakić, Ivica ; Tolić, Domagoj ; Palunko, Ivana ; Tomljanović, Zoran
engleski
Numerically Efficient Agents-to-Group H∞ Analysis
This paper proposes a numerically efficient approach for computing the maximal/minimal impact a subset of agents has on the cooperative system. For instance, if one is able to disturb/bolster several agents so as to maximally disturb/bolster the entire team, which agents to choose and what kind of inputs to apply? We quantify the agents-to-team impacts in terms of H∞ norm whereas output synchronization is taken as the underlying cooperative control scheme. Sufficient conditions on agents’ parameters, synchronization gains and topology are provided such that the associated H∞ norm attains its maximum for constant agents’ disturbances. Linear second-order agent dynamics and weighted undirected topologies are considered. Our analyses also provide directions towards improving graph design and tuning/selecting cooperative control mechanisms. Lastly, numerical examples, some of which include forty thousand agents, are provided.
multi-agent systems ; H∞ norm ; network robustness/resiliency ; output synchronization ; linear systems
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Podaci o prilogu
199-204.
2022.
objavljeno
10.1016/j.ifacol.2022.09.095.
Podaci o matičnoj publikaciji
Podaci o skupu
International Conference on Mathematical Modelling (MATHMOD)
predavanje
27.07.2022-29.07.2022
Beč, Austrija