Recursive Parsimonious System Identification Algorithm for Dynamical Systems

Korkut Bekiroglu, Seshadhri Srinivasan, Rong Su, Constantino Lagoa, Kameshwar Poolla

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

Abstract

Recursive system identification is the heart of many industrial applications that include tracking systems, time-varying behaviors, and fault-detection systems. Two significant challenges in the recursive system identification are a prior specification of the model order and computation complexity of recursive system identification. Further, when controller design ensues the model identification, it is desirable to compute the lowest order model that explains the input-output data with reasonable computations. Therefore this paper presents a Recursive Parsimonious System Identification (RPSI) algorithm for recursively identifying the lowest order model from measurements. To simplify the computations the method uses the recently developed concept of an atomic norm. The main advantage of the method is that, it provides a way to recursively estimate a lowest order model without the use of Riccati recursions on covariance matrices and other such computations. Also, it does not require any assumptions on the model order as with other methods in the literature. The proposed method is illustrated on two examples-first a simulation and second an industrial example from the cement industry.

Original languageEnglish (US)
Title of host publication2018 IEEE Conference on Control Technology and Applications, CCTA 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1520-1525
Number of pages6
ISBN (Electronic)9781538676981
DOIs
Publication statusPublished - Oct 26 2018
Event2nd IEEE Conference on Control Technology and Applications, CCTA 2018 - Copenhagen, Denmark
Duration: Aug 21 2018Aug 24 2018

Publication series

Name2018 IEEE Conference on Control Technology and Applications, CCTA 2018

Other

Other2nd IEEE Conference on Control Technology and Applications, CCTA 2018
CountryDenmark
CityCopenhagen
Period8/21/188/24/18

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All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Control and Optimization
  • Automotive Engineering
  • Safety, Risk, Reliability and Quality

Cite this

Bekiroglu, K., Srinivasan, S., Su, R., Lagoa, C., & Poolla, K. (2018). Recursive Parsimonious System Identification Algorithm for Dynamical Systems. In 2018 IEEE Conference on Control Technology and Applications, CCTA 2018 (pp. 1520-1525). [8511460] (2018 IEEE Conference on Control Technology and Applications, CCTA 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCTA.2018.8511460