Wahrburg, Arne ; Listmann, Kim D. ; Adamy, Jürgen (2023)
Master-Slave Synchronization for Nonlinear Systems based on Reduced Observers.
In: IFAC Proceedings Volumes, 2011, 44 (1)
doi: 10.26083/tuprints-00023318
Article, Secondary publication, Publisher's Version
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Item Type: | Article |
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Type of entry: | Secondary publication |
Title: | Master-Slave Synchronization for Nonlinear Systems based on Reduced Observers |
Language: | English |
Date: | 2023 |
Place of Publication: | Darmstadt |
Year of primary publication: | 2011 |
Publisher: | IFAC - International Federation of Automatic Control |
Journal or Publication Title: | IFAC Proceedings Volumes |
Volume of the journal: | 44 |
Issue Number: | 1 |
DOI: | 10.26083/tuprints-00023318 |
Corresponding Links: | |
Origin: | Secondary publication service |
Abstract: | In this article a global method for master-slave synchronization of nonlinear systems is provided. Based on a diffeomorphic transformation of the original dynamics, a reduced observer is designed such that the nonlinear state feedback law is independent of the inertial frame. Generally, the method requires non trivial computations but leads to global convergence results for the invariant tracking error. We illustrate the design procedure in detail for a master-slave synchronization of a bacterial growth model, which may escape to infinity in finite time. |
Uncontrolled Keywords: | synchronization, tracking, nonlinear observers, input-affine systems, invariance |
Status: | Publisher's Version |
URN: | urn:nbn:de:tuda-tuprints-233181 |
Additional Information: | Zugl. Konferenzveröffentlichung: 18th IFAC World Congress, 28.08.-02.09.2011, Milano, Italy |
Classification DDC: | 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering |
Divisions: | 18 Department of Electrical Engineering and Information Technology > Institut für Automatisierungstechnik und Mechatronik > Control Methods and Intelligent Systems |
Date Deposited: | 08 Mar 2023 13:59 |
Last Modified: | 26 May 2023 07:42 |
URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/23318 |
PPN: | 507994663 |
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