Symbolic identification of dynamical systems: Theory and experimental validation

Subhadeep Chakraborty, Eric Keller, Asok Ray, Jeffrey Mayer

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

Abstract

This paper proposes a syntactic method of system identification in dynamical systems. The underlying concept involves abstraction of a qualitative description of the dynamical system by state-space embedding of the output data-stream and discretization of the resultant pseudo-state and input spaces. The task of system identification is achieved through grammatical inference techniques, and the deviation of the plant output from the nominal estimated language generates a measure of anomaly in the system. This system identification technique has been experimentally validated for detection of anomalous behavior on a laboratory apparatus of a permanent magnet synchronous motor (PMSM) undergoing gradual demagnetization.

Original languageEnglish (US)
Title of host publicationProceedings of the 2010 American Control Conference, ACC 2010
Pages3716-3721
Number of pages6
StatePublished - Oct 15 2010
Event2010 American Control Conference, ACC 2010 - Baltimore, MD, United States
Duration: Jun 30 2010Jul 2 2010

Publication series

NameProceedings of the 2010 American Control Conference, ACC 2010

Other

Other2010 American Control Conference, ACC 2010
CountryUnited States
CityBaltimore, MD
Period6/30/107/2/10

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

Fingerprint Dive into the research topics of 'Symbolic identification of dynamical systems: Theory and experimental validation'. Together they form a unique fingerprint.

Cite this