The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
A two‐stage searching method for continuous time‐delay systems identification
Abstract
This paper presents a novel method to estimate the unknown parameters of continuous‐time systems with time delay. In the proposed method, the time delay and plant parameters are estimated separately. To estimate the time delay, a one‐dimensional searching method with variable step size is proposed to improve computational efficiency. The searching method consists of two stages: the coarse stage and the refined searching stage. To analyze the convergence of the searching method, the concept of significant interval is proposed. By defining the significant interval, a sufficient condition for global convergence of the searching method is provided. Based on the two‐stage searching method, a novel identification algorithm is developed in which the simplified refined instrumental variable for continuous‐time models algorithm is used to estimate the plant parameters. Simulation results demonstrate that the proposed identification method can estimate the unknown parameters of continuous‐time system with time delay efficiently. The estimation results under different noisy conditions verify the reliability and robustness of the proposed method. The applicability of the developed identification method is demonstrated by a practical example.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Citations
Cites
Reinforcement Learning: An Introduction
Sutton, R. S., & Barto, A. (2005) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2004.842673 · Cited by 25,187
Lennart Ljung, A. (1998) · Wiley eBooks · doi:10.1002/047134608x.w1046 · Cited by 4,307
Identification of Continuous-time Models from Sampled Data
Garnier, H., & Wang, L. (2008) · Advances in industrial control · doi:10.1007/978-1-84800-161-9 · Cited by 581
Identification Modeling and Characteristics of Miniature Rotorcraft
Mettler, B. (2003) · Springer eBooks · doi:10.1007/978-1-4757-3785-1 · Cited by 375
Garnier, H., Mensler, M., & Richard, A. (2003) · International Journal of Control · doi:10.1080/0020717031000149636 · Cited by 356
Unified iterative learning control for flexible structures with input constraints
He, W., Meng, T., He, X., & Ge, S. S. (2018) · Automatica · doi:10.1016/j.automatica.2018.06.051 · Cited by 322
A tutorial review on process identification from step or relay feedback test
Liu, T., Wang, Q., & Huang, H. (2013) · Journal of Process Control · doi:10.1016/j.jprocont.2013.08.003 · Cited by 222
Modeling and Control of the Yaw Channel of a UAV Helicopter
Cai, G., Chen, B. M., Peng, K., Dong, M., & Lee, T.-H. (2008) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2008.926780 · Cited by 162
Experiments with Identification of Continuous Time Models
Lennart Ljung, A. (2009) · IFAC Proceedings Volumes · doi:10.3182/20090706-3-fr-2004.00195 · Cited by 112
Garnier, H. (2015) · European Journal of Control · doi:10.1016/j.ejcon.2015.04.003 · Cited by 104
Cited by
An indirect approach for online identification of continuous time‐delay systems
Sharma, S., & Padhy, P. K. (2021) · International Journal of Numerical Modelling Electronic Networks Devices and Fields · doi:10.1002/jnm.2947 · Cited by 20
Parameter identification of a class of nonlinear multidelay systems with piecewise constant delays
Marzban, H. R. (2022) · Asian Journal of Control · doi:10.1002/asjc.2466 · Cited by 4
da Silva, M. T., Júnior, G. A., & Barros, P. R. (2021) · Journal of Control Automation and Electrical Systems · doi:10.1007/s40313-021-00802-0 · Cited by 4
Xing, X., Wang, J., Yang, Z., & Gyasi, P. (2020) · IEEE Access · doi:10.1109/access.2020.2978555 · Cited by 3
A frequency domain time-delay identification method for drag-free control systems
Wang, P., Li, W., Lian, J., & Zhao, G. (2025) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2025.113793 · Cited by 2
Metadata
- Authors
- Bai, M., & Li, M.
- Affiliations
- Shandong University of Science and Technology (CN)
- Corresponding author
- Li, Minhua
- ORCID
- Venue
- Asian Journal of Control
- Publisher
- Wiley
- Published
- 2019-08-08
- Volume
- 23
- Issue
- 1
- Pages
- 279-288
- ISSN
- 1561-8625 (ISSN-L)
- 1934-6093
- OpenAlex
- W2968155158
- Cited by
- 7
- References
- 22
- Citations by year
- 2025: 1 · 2024: 1 · 2021: 2 · 2020: 3
- FWCI
- 0.58
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Asian Journal of Control (publishedVersion)
- Funders
- U.S. Department of Energy
- University of Tasmania
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Control Systems and Identification
- Physical Sciences › Engineering › Control and Systems Engineering › Advanced Control Systems Design
- Physical Sciences › Engineering › Control and Systems Engineering › Stability and Control of Uncertain Systems
- Keywords
- time-delay systems, system identification, continuous-time systems, time delay estimation, parameter estimation, global convergence
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review