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Linear, Time-varying Approximations to Nonlinear Dynamical Systems
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“The practical applicability of control algorithms is enhanced by the fact that nonlinear systems can be very precisely represented by linear models with online estimated dynamics [13,14].”
From Data-driven control of hydraulic servo actuator: An event-triggered adaptive dynamic programming approach (2023) · cites this paper as [13]
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Metadata
- Authors
- Tomás-Rodríguez, M., & Banks, S. P.
- Affiliations
- City, University of London (GB)
- University of Sheffield (GB)
- Venue
- Lecture Notes in Control and Information Sciences
- Publisher
- Springer London
- Published
- 2010
- ISSN
- 0170-8643 (ISSN-L)
- 1610-7411
- OpenAlex
- W2505797602
- Cited by
- 76
- References
- 2
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 11 · 2022: 3 · 2021: 10 · 2020: 8 · 2019: 6 · 2018: 6 · 2017: 5 · 2016: 2 · 2015: 7 · 2014: 2 · 2013: 4 · 2012: 6
- FWCI
- 2.13
- Type
- book
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Lecture notes in control and information sciences (publishedVersion)
- DIAL (Catholic University of Leuven) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Control and Stability of Dynamical Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Control Systems and Identification
- Physical Sciences › Engineering › Control and Systems Engineering › Advanced Control Systems Optimization
- Keywords
- nonlinear dynamical systems, nonlinear system analysis, nonlinear control, linearization
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