A Scalable Approach for Analysing Multi-Agent Systems with Heterogeneous Stochastic Packet Loss

Publikationstyp
Conference Paper
Publikationsdatum
2023-12-13
Sprache
English
Author
Hespe, Christian orcid-logo
Regelungstechnik E-14 
Werner, Herbert 
Regelungstechnik E-14 
TORE-URI
https://hdl.handle.net/11420/45198
Citation
62nd IEEE Conference on Decision and Control (CDC 2023)
Contribution to Conference
62nd IEEE Conference on Decision and Control, CDC 2023 
Publisher DOI
10.1109/cdc49753.2023.10383506
Scopus ID
2-s2.0-85184830704
Publisher
IEEE
An important aspect in jointly analysing networked control systems and their communication is to model the networking in a sufficiently rich but at the same time mathematically tractable way. As such, this paper improves on a recently proposed scalable approach for analysing multi-agent systems with stochastic packet loss by allowing for heterogeneous transmission probabilities and temporal correlation in the communication model. The key idea is to consider the transmission probabilities as uncertain, which facilitates the use of tools from robust control. Due to being formulated in terms of linear matrix inequalities that grow linearly with the number of agents, the result is applicable to very large multi-agent systems, which is demonstrated by numerical simulations with up to 10000 agents.