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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. (Publisher's Version)
In: IFAC Proceedings Volumes, 44 (1), pp. 10994-10999. IFAC - International Federation of Automatic Control, ISSN 1474-6670,
DOI: 10.26083/tuprints-00023318,
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Item Type: Article
Origin: Secondary publication service
Status: Publisher's Version
Title: Master-Slave Synchronization for Nonlinear Systems based on Reduced Observers
Language: English
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.

Journal or Publication Title: IFAC Proceedings Volumes
Volume of the journal: 44
Issue Number: 1
Place of Publication: Darmstadt
Publisher: IFAC - International Federation of Automatic Control
Uncontrolled Keywords: synchronization, tracking, nonlinear observers, input-affine systems, invariance
Classification DDC: 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau
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
DOI: 10.26083/tuprints-00023318
Corresponding Links:
URN: urn:nbn:de:tuda-tuprints-233181
Additional Information:

Zugl. Konferenzveröffentlichung: 18th IFAC World Congress, 28.08.-02.09.2011, Milano, Italy

URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/23318
PPN: 507994663
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