Optimal distributed and cooperative supervisory estimation of multi-agent systems subject to unreliable information

M. M. Tousi, S. M. Azizi, K. Khorasani

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

In this work, a novel framework for optimal cooperative supervisory estimation of multi-agent linear time-invariant (LTI) systems is proposed which is applicable to a large class of multi-agent systems. This framework was recently developed by the authors based on the notion of sub-observers and a discrete-event system (DES) supervisory control. Each sub-observer estimates certain states that are conditioned on given inputs, outputs, and states information. Moreover, the cooperation among the sub-observers is managed by a DES supervisor. In this work, our proposed supervisory estimation framework is extended to the combinatorial optimization domain. When certain anomalies (faults) are present in the system, or the sensors and sub-observers become unreliable, the proposed optimal DES supervisor makes decisions regarding the selection and reconfiguration of sets of sub-observers to estimate all the system states, while simultaneously a performance index that incorporates the communication cost, computation cost, and reconfiguration cost, and the number of invalid state estimates is minimized. The application of our proposed methodology in a practical industrial process is demonstrated through numerical simulations.

Original languageEnglish (US)
Title of host publication2011 IEEE International Systems Conference, SysCon 2011 - Proceedings
Pages155-162
Number of pages8
DOIs
StatePublished - Jul 26 2011
Externally publishedYes
Event2011 5th IEEE International Systems Conference, SysCon 2011 - Montreal, QC, Canada
Duration: Apr 4 2011Apr 7 2011

Publication series

Name2011 IEEE International Systems Conference, SysCon 2011 - Proceedings

Conference

Conference2011 5th IEEE International Systems Conference, SysCon 2011
Country/TerritoryCanada
CityMontreal, QC
Period4/4/114/7/11

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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