Detection filter design for homogeneous multi-agent networks.

Authors: 
Szabo, Zoltan & Bokor, József & Hara, S.:
Title of journal: 
IFAC-PapersOnLine, Volume 51, Issue 24
Relevant pages: 
Pages 586-591
DOI: 
https://doi.org/10.1016/j.ifacol.2018.09.635
Open access: 
Yes
Abstract: 
A class of large-scale systems with decentralized information structures such as multi-agent systems can be represented by a linear system with a generalized frequency variable. In these models agents are modelled through a strictly proper SISO state space model while the supervisory structure, representing the information exchange among the agents, is represented via a linear state-space model. In this paper the fundamental problem of residual generation, as a basic detector filter design task, is solved in the context of homogeneous multi-agent networks. In order to reduce the dependence of the filter on the particular agent and to exploit the inherent informational structure of the network system the same local-global structure is imposed to the filter as of the original system. It is shown that a stable detection filter can be designed if the same structural conditions are fulfilled as in the unstructured LTI case.
SCI: 
No
Kiemelt: 
No
Pdf: 
No
Place of publication: 
https://www.sciencedirect.com/science/article/pii/S2405896318323474