Feedback linearization of nonlinear singularly perturbed systems with state-dependent coefficients
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Linear control algorithms for electro-hydraulic servo systems only perform well under certain operating conditions and fail to achieve satisfactory performance in the presence of parameter perturbations, nonlinearities and disturbances.
“The linear control algorithms, which are developed using conventional PID [11-14] or feedback linearization techniques [15,16], are simple and easy to implement in engineering. However, they only perform well under certain operating conditions, and fail to achieve satisfactory performance in the presence of aforementioned uncertainties, including parameter permutations, nonlinearities and disturb”
From Compensation Function Observer-Based Backstepping Sliding-Mode Control of Uncertain Electro-Hydraulic Servo System (2024) · cites this paper as [16]
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“In addition, the feedback linearization controller [16] was proven to not be robust in modeling uncertainty and sensor noise due to the high-order derivative terms in control inputs.”
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Feedback Linearization and Sliding Mode Controllers
Moghaddam, R. K., & Rabbani, M. (2024) · doi:10.1002/9781394314522.ch10
- Authors
- Kabanov, A. A.
- Affiliations
- Russian Academy of Sciences (RU)
- Corresponding author
- Kabanov, Aleksey A.
- ORCID
- Kabanov, Aleksey A.
- Venue
- International Journal of Control, Automation and Systems
- Published
- 2020-02-04
- Volume
- 18
- Issue
- 7
- Pages
- 1743-1750
- ISSN
- 1598-6446 (ISSN-L)
- 2005-4092
- OpenAlex
- W3004955413
- Cited by
- 13
- References
- 33
- Citations by year
- 2025: 1 · 2024: 2 · 2022: 1 · 2021: 6 · 2020: 3
- FWCI
- 2.09
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Control Automation and Systems (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Numerical Analysis › Differential Equations and Numerical Methods
- Physical Sciences › Engineering › Control and Systems Engineering › Control and Stability of Dynamical Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Stability and Control of Uncertain Systems
- Keywords
- feedback linearization, nonlinear singularly perturbed systems, state-dependent coefficients, composite control, singularly perturbed systems, pole placement, inverted pendulum, DC motor control
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