Step and pulse response methods for identification of wiener processes
Abstract
Lack of simple identification methods for nonlinear processes hinders field applications of nonlinear control systems. For identification methods that are as simple as those for the first order plus time delay models of linear dynamical processes, graphical and least squares methods to identify Wiener‐type nonlinear processes from standard responses, such as step, pulse, and square‐wave responses, are proposed. Static nonlinear functions are identified independently in Wiener‐type nonlinear processes. Graphical methods extract discrete points of the nonlinear static function or a continuous non‐parametric model of the nonlinear static function iteratively. The least squares method provides a parametric model of the nonlinear static function. The identified static nonlinear function can be used to design a simple linearizing control system. To illustrate the proposed identification methods, simulation and experimental results are given. © 2005 American Institute of Chemical Engineers AIChE J, 2006
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Park and Lee [5] used a special test signal to separate identification of nonlinearity from the linear part for Wiener systems.
“Strategies for the identification of Wiener systems were represented in brief by Park and Lee in [5] using the special test signal whereby the identification of nonlinearity was separated from the linear part, and further extended for the Hammerstein-Wiener type process in [9].”
From Application of Fractional Calculus for Parameter Estimation of Nonlinear Wiener Systems With Time Delay (2024) · cites this paper as [5]
Since the amplitude of u1(t) is 1 and u2(t) is w, and the linear subsystems are homogeneous, v2(t) = wv1(t) as given in [5].
“Since the amplitude of the u 1 (t) is 1 and the u 2 (t) is w (0 < w < 1), and the linear subsystems are homogeneous, therefore as given in [5], v 2 (t) = wv 1 (t)”
From Application of Fractional Calculus for Parameter Estimation of Nonlinear Wiener Systems With Time Delay (2024) · cites this paper as [5]
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Kothari, K. (2024) · IEEE Access · doi:10.1109/access.2024.3367441 · Cited by 10 · see citing works
“Strategies for the identification of Wiener systems were represented in brief by Park and Lee in [5] using the special test signal whereby the identification of nonlinearity was separated from the linear part, and further extended for the Hammerstein-Wiener type process in [9].”
BackgroundMethodInfluential
- Authors
- Park, H. C., & Lee, J.
- Affiliations
- Kyungpook National University (KR)
- Corresponding author
- Lee, Jietae
- ORCID
- Lee, Jietae
- Venue
- AIChE Journal
- Publisher
- Wiley
- Published
- 2005-10-04
- Volume
- 52
- Issue
- 2
- Pages
- 668-677
- ISSN
- 0001-1541 (ISSN-L)
- 1547-5905
- OpenAlex
- W2017029365
- Cited by
- 15
- References
- 0
- Citations by year
- 2024: 1 · 2023: 1 · 2020: 2 · 2018: 1 · 2016: 1 · 2015: 1 · 2013: 1
- FWCI
- 2.86
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- AIChE Journal (publishedVersion)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Control Systems and Identification
- Physical Sciences › Engineering › Control and Systems Engineering › Fault Detection and Control Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Advanced Control Systems Optimization
- Keywords
- Brownian motion, nonlinear system identification, step response, pulse response, square wave response, least squares identification, linearizing control, nonlinear control systems
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