Parametric Continuous-Time Blind System Identification

Elton, AugustusCollege of Engineering, Science and Environment, University of Newcastle, Callaghan, NSW, Australia (author)

QC 20240326Part of ISBN 979-8-3503-0124-3
In this paper, the blind system identification problem for continuous-time systems is considered. A direct continuous-time estimator is proposed by utilising a state-variable-filter least squares approach. In the proposed method, coupled terms between the numerator polynomial of the system and input parameters appear in the parameter vector which are subsequently separated using a rank-1 approximation. An algorithm is then provided for the direct identification of a single-input single-output linear time-invariant continuous-time system which is shown to satisfy the property of correctness under some mild conditions. Monte Carlo simulations demonstrate the performance of the algorithm and verify that a model and input signal can be estimated to a proportion of their true values.

González, Rodrigo A.Eindhoven University of Technology, Department of Mechanical Engineering, Eindhoven, The Netherlands (author)
Welsh, James S.College of Engineering, Science and Environment, University of Newcastle, Callaghan, NSW, Australia (author)
Rojas, Cristian R.,1980-KTH,Reglerteknik(Swepub:kth)u10v97p2 (author)
Fu, MinyueCollege of Engineering, Science and Environment, University of Newcastle, Callaghan, NSW, Australia (author)
College of Engineering, Science and Environment, University of Newcastle, Callaghan, NSW, AustraliaEindhoven University of Technology, Department of Mechanical Engineering, Eindhoven, The Netherlands (creator_code:org_t)

In:2023 62nd IEEE Conference on Decision and Control, CDC2023: Institute of Electrical and Electronics Engineers (IEEE), s. 1474-1479

By the author/editor: Elton, Augustus; González, Rodrig ...; Welsh, James S.; Rojas, Cristian ...; Fu, Minyue

About the subject

ENGINEERING AND TECHNOLOGY: ENGINEERING AND ...; and Electrical Engin ...; and Control Engineer ...

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.