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Master-Slave Synchronization for Nonlinear Systems based on Reduced Observers

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
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

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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