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Online Algebraic Identification Approach of Continuous Linear Time Delay Systems
Abstract
In this paper, we propose an online algebraic method to identify linear continuous time delay process from step response, in presence of unknown initial state and constant load disturbance. The identification mechanism is split into two sequential steps. The time delay and dynamic of the plant is estimated firstly through a spectral formulation. In the next stage, the transient regime is deduced from a linear regression. To improve the robustness of the proposed method, a local convolution by sigmoid function is proposed. Simulation results are provided, at last, to show the effectiveness of our conceived approach.
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Metadata
- Authors
- Mhamdi, A., Ibn Taarit, K., & Ksouri, M.
- Affiliations
- National Engineering School of Tunis (TN)
- Université de Tunis El Manar École Nationale d'Ingénieurs de Tunis, LR11ES20 Laboratoire d'Analyse, de Conception et de Commande des Systèmes (LACS) 1002 Tunis Tunisie
- Corresponding author
- Mhamdi, Abdelbacet
- ORCID
- Mhamdi, Abdelbacet
- Venue
- Asian Journal of Control
- Publisher
- Wiley
- Published
- 2017-06-07
- Volume
- 20
- Issue
- 1
- Pages
- 343-355
- ISSN
- 1561-8625 (ISSN-L)
- 1934-6093
- OpenAlex
- W2624398805
- Cited by
- 12
- References
- 33
- Citations by year
- 2024: 1 · 2023: 1 · 2022: 2 · 2021: 1 · 2020: 5 · 2019: 1 · 2018: 1
- FWCI
- 0.96
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Asian Journal of Control (publishedVersion)
- 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
- online system identification, continuous-time systems, time-delay systems, algebraic identification, step response, unknown initial state, load disturbance, spectral estimation, transient regime, robustness
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