Selivanov, A. orcid.org/0000-0001-5075-7229 and Fradkov, A. (2020) Adaptive stabilization of minimum-phase systems under quantized measurements. In: Findeisen, R., Hirche, S., Janschek, K. and Mönnigmann, M., (eds.) iFAC-PapersOnLine. 21st IFAC World Congress, 11-17 Jul 2020, Berlin, Germany.. iFAC Papers Online, 53 (2). Elsevier , pp. 3761-3766.
Abstract
We construct an adaptive controller for a linear minimum-phase system of an arbitrary relative degree with an unknown bounded disturbance and dynamically quantized measurements. The key novelty is the extension of the shunting method (parallel feedforward compensator) to plants with bounded disturbances. This method leads to an augmented system of relative degree one that is stabilized by a passification-based adaptive controller. Moreover, we design a switching procedure for the controller parameters and the quantizer’s zoom that ensures the state convergence from an arbitrary set to an ellipsoid whose size depends on the disturbance bound. The results are demonstrated by an example of an aircraft flight control.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2020 The Authors. This is an open access article under the CC BY-NC-ND license. (http://creativecommons.org/licenses/by-nc-nd/4.0) |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 17 Jul 2020 08:37 |
Last Modified: | 23 Jun 2021 13:14 |
Status: | Published |
Publisher: | Elsevier |
Series Name: | iFAC Papers Online |
Refereed: | Yes |
Identification Number: | 10.1016/j.ifacol.2020.12.2064 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:163321 |