bibtype J - Journal Article
ARLID 0575972
utime 20240402214455.6
mtime 20231002235959.9
SCOPUS 85166741275
WOS 001047185200001
DOI 10.1109/ACCESS.2023.3301181
title (primary) (eng) Asymmetric System Model Parameters Identification Framework via Relay Feedback
specification
page_count 19 s.
media_type E
serial
ARLID cav_un_epca*0461036
ISSN 2169-3536
title IEEE Access
volume_id 11
volume 1 (2023)
page_num 82257-82275
publisher
name Institute of Electrical and Electronics Engineers
keyword Asymmetric dynamics
keyword system identification
keyword system dynamics
keyword frequency-domain analysis
keyword relay feedback
keyword parameter estimation
keyword optimization
author (primary)
ARLID cav_un_auth*0450647
name1 Pekař
name2 L.
country CZ
author
ARLID cav_un_auth*0450649
name1 Matušů
name2 R.
country CZ
author
ARLID cav_un_auth*0383489
name1 Song
name2 M.
country CN
author
ARLID cav_un_auth*0382598
name1 Kuklišová Pavelková
name2 Lenka
institution UTIA-B
full_dept (cz) Adaptivní systémy
full_dept Department of Adaptive Systems
department (cz) AS
department AS
full_dept Department of Adaptive Systems
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0455685
name1 Gao
name2 Q.
country CN
source
url http://library.utia.cas.cz/separaty/2023/AS/kuklisova-0575972.pdf
source
url https://ieeexplore.ieee.org/document/10203025
cas_special
abstract (eng) This paper proposes an innovative framework of a parameter estimation procedure based on the well-established relay-feedback experiment paradigm. The novelty consists in consideration of asymmetric dynamics and non-equal static gains of the identified system. A different system behavior after changing the input variable polarity near the operating point is rarely considered or even omitted within relay-based parameter identification tests, in contrast to the common use of asymmetry in the nonlinear relay element. The thing is that many existing relay-based identification techniques in the frequency domain use integrations, assuming that the system output operating point coincides with the setpoint value (i.e., the offset between them is zero). However, this is not true for asymmetric dynamic systems, which yields considerably erroneous parameter estimation as the integration result is highly sensitive to the baseline value. The resulting iterative numerical optimization-based algorithm is built-up using a chain of natural assumptions and step-by-step thought experiments. The proposed framework is applied to the well-established exponential decaying method in this paper. Some computation aspects of the algorithm are discussed. A comparative numerical study illustrates the efficacy of the proposed strategy, where several frequency-fitting-based and descriptive-function-based competitive approaches are considered.
result_subspec WOS
RIV BC
FORD0 20000
FORD1 20200
FORD2 20205
reportyear 2024
num_of_auth 5
inst_support RVO:67985556
permalink https://hdl.handle.net/11104/0345849
confidential S
mrcbC91 A
mrcbT16-e COMPUTERSCIENCEINFORMATIONSYSTEMS|ENGINEERINGELECTRICALELECTRONIC|TELECOMMUNICATIONS
mrcbT16-j 0.698
mrcbT16-s 0.96
mrcbT16-D Q3
mrcbT16-E Q2
arlyear 2023
mrcbU14 85166741275 SCOPUS
mrcbU24 PUBMED
mrcbU34 001047185200001 WOS
mrcbU63 cav_un_epca*0461036 IEEE Access 11 1 2023 82257 82275 2169-3536 2169-3536 Institute of Electrical and Electronics Engineers