Detection filter design for homogeneous multi-agent networks

Z. Szabó, J. Bokor, S. Hara

Research output: Contribution to journalArticle

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.

Original languageEnglish
Pages (from-to)586-591
Number of pages6
JournalIFAC-PapersOnLine
Volume51
Issue number24
DOIs
Publication statusPublished - Jan 1 2018

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Multi agent systems
Linear systems
Large scale systems
Detectors

Keywords

  • FDI filter design
  • fundamental problem of residual generation
  • homogeneous multi-agent networks

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Detection filter design for homogeneous multi-agent networks . / Szabó, Z.; Bokor, J.; Hara, S.

In: IFAC-PapersOnLine, Vol. 51, No. 24, 01.01.2018, p. 586-591.

Research output: Contribution to journalArticle

Szabó, Z. ; Bokor, J. ; Hara, S. / Detection filter design for homogeneous multi-agent networks In: IFAC-PapersOnLine. 2018 ; Vol. 51, No. 24. pp. 586-591.
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