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

Fingerprint

System theory
Identification (control systems)
Dynamical systems
Demagnetization
Synchronous motors
Syntactics
Permanent magnets

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

Cite this

Chakraborty, S., Keller, E., Ray, A., & Mayer, J. (2010). Symbolic identification of dynamical systems: Theory and experimental validation. In Proceedings of the 2010 American Control Conference, ACC 2010 (pp. 3716-3721). [5530662] (Proceedings of the 2010 American Control Conference, ACC 2010).
Chakraborty, Subhadeep ; Keller, Eric ; Ray, Asok ; Mayer, Jeffrey. / Symbolic identification of dynamical systems : Theory and experimental validation. Proceedings of the 2010 American Control Conference, ACC 2010. 2010. pp. 3716-3721 (Proceedings of the 2010 American Control Conference, ACC 2010).
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Chakraborty, S, Keller, E, Ray, A & Mayer, J 2010, Symbolic identification of dynamical systems: Theory and experimental validation. in Proceedings of the 2010 American Control Conference, ACC 2010., 5530662, Proceedings of the 2010 American Control Conference, ACC 2010, pp. 3716-3721, 2010 American Control Conference, ACC 2010, Baltimore, MD, United States, 6/30/10.

Symbolic identification of dynamical systems : Theory and experimental validation. / Chakraborty, Subhadeep; Keller, Eric; Ray, Asok; Mayer, Jeffrey.

Proceedings of the 2010 American Control Conference, ACC 2010. 2010. p. 3716-3721 5530662 (Proceedings of the 2010 American Control Conference, ACC 2010).

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

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Chakraborty S, Keller E, Ray A, Mayer J. Symbolic identification of dynamical systems: Theory and experimental validation. In Proceedings of the 2010 American Control Conference, ACC 2010. 2010. p. 3716-3721. 5530662. (Proceedings of the 2010 American Control Conference, ACC 2010).