A distributed and cooperative supervisory estimation of multi-agent nonlinear systems

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

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

2 Scopus citations

Abstract

In this work, we propose a framework for supervisory cooperative estimation of multi-agent nonlinear systems. We introduce a group of sub-observers, each estimating certain states conditioned on certain given input, output, and state information. The cooperation among the sub-observers is supervised by a discrete-event system (DES). The supervisor makes decisions on selecting and configuring a set of sub-observers, so that the overall integrated sub-observers are able to successfully estimate all the states of the system. In cases when certain changes in the uncertainties take place, the supervisor reconfigures the set of selected sub-observers so that the impact of these uncertainties on the estimation performance is minimized. Our proposed method is applied to a nonlinear industrial process, and the simulations results obtained validate our analytical work.

Original languageEnglish (US)
Title of host publicationProceedings of 2009 7th Asian Control Conference, ASCC 2009
Pages384-389
Number of pages6
StatePublished - Dec 11 2009
Externally publishedYes
Event2009 7th Asian Control Conference, ASCC 2009 - Hong Kong, China
Duration: Aug 27 2009Aug 29 2009

Publication series

NameProceedings of 2009 7th Asian Control Conference, ASCC 2009

Conference

Conference2009 7th Asian Control Conference, ASCC 2009
CountryChina
CityHong Kong
Period8/27/098/29/09

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering

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