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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Keywords

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

ASJC Scopus subject areas

  • Control and Systems Engineering

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