Relay‐based identification of Wiener model
Abstract
Wiener model belongs to a broad class of non‐linear model structures called the block‐oriented models. Various chemical, biological and electrical processes can be represented as a Wiener structure. There are vast numbers of approaches to identify the Wiener model; however, most of them are only theoretically sound. Therefore, there is a need for developing an industrial grade, simple identification scheme. The present research work attempts to explore the possibility of identifying Wiener models using relay feedback identification technique, which has been applied efficiently but limited mostly to linear structures. Here, the authors consider not all but wider probable cases of the linear subsystem, which include real roots, complex conjugate roots, first‐order, integrating second‐order and repeated roots. The proposed method is simple and requires less prior knowledge about the system. The technique being somehow general can be applied effectively to linear and unstable systems as well. Various simulation examples are used to demonstrate the efficacy of the proposed identification scheme.
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The method of Meher and Manjhi [19] uses data filtering for noisy data.
“However, this method uses data filtering for noisy data.”
From Application of Fractional Calculus for Parameter Estimation of Nonlinear Wiener Systems With Time Delay (2024) · cites this paper as [19]
Meher and Manjhi [19] illustrated a relay-based identification technique for Wiener systems applicable to stable and unstable systems.
“Recently, Meher and Manjhi [19] illustrated another relay-based identification technique for Wiener systems, which is applicable to stable as well as unstable systems.”
From Application of Fractional Calculus for Parameter Estimation of Nonlinear Wiener Systems With Time Delay (2024) · cites this paper as [19]
The proposed method and the RF1 method yield comparable results for Example 1.
“The proposed method and the RF1 method [19] yield comparable results for Example 1.”
From Application of Fractional Calculus for Parameter Estimation of Nonlinear Wiener Systems With Time Delay (2024) · cites this paper as [19]
The RF1 method requires pre-processing for noisy data.
“However, the RF1 method [19] requires pre-processing for noisy data, whereas the proposed method can deal with noise-contaminated data without pre-processing with reasonable accuracy.”
From Application of Fractional Calculus for Parameter Estimation of Nonlinear Wiener Systems With Time Delay (2024) · cites this paper as [19]
The method of Meher and Manjhi [19] does not use lower-order models to estimate higher-order systems.
“Moreover, it does not use lower-order models to estimate higher-order systems.”
From Application of Fractional Calculus for Parameter Estimation of Nonlinear Wiener Systems With Time Delay (2024) · cites this paper as [19]
The RF1 method estimates the unknown system with the same structure of transfer function as the actual linear subsystem in Example 3.
“The results in Table 3, Fig. 10, and Fig. 11 show similar accuracy, however the RF1 method estimates the unknown system with the same structure of transfer function as the actual linear subsystem, whereas the proposed system approximates the linear subsystem using the simple single-pole transfer function.”
From Application of Fractional Calculus for Parameter Estimation of Nonlinear Wiener Systems With Time Delay (2024) · cites this paper as [19]
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Kothari, K. (2024) · IEEE Access · doi:10.1109/access.2024.3367441 · Cited by 10 · see citing works
- Authors
- Meher, T., & Majhi, S.
- Affiliations
- Indian Institute of Technology Guwahati (IN)
- Corresponding author
- Meher, Trusna
- Venue
- IET Circuits, Devices & Systems
- Published
- 2020-03-16
- Volume
- 14
- Issue
- 3
- Pages
- 398-406
- ISSN
- 1751-858X (ISSN-L)
- OpenAlex
- W3003562436
- Cited by
- 6
- References
- 0
- Citations by year
- 2024: 2 · 2023: 1 · 2022: 1 · 2021: 2
- FWCI
- 0.49
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IET Circuits Devices & Systems (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 › Fault Detection and Control Systems
- Keywords
- Wiener model, relay feedback identification, block-oriented models, nonlinear system identification, complex conjugate roots, unstable systems, multiple roots
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