Redesign Techniques for Nonlinear Sampled-data Systems : Entwurfstechniken für nichtlineare Abtastsysteme

DOI zum Zitieren der Version auf EPub Bayreuth: https://doi.org/10.15495/EPub_UBT_00005565
URN to cite this document: urn:nbn:de:bvb:703-epub-5565-4

Title data

Grüne, Lars ; Pannek, Jürgen ; Worthmann, Karl ; Nešić, Dragan:
Redesign Techniques for Nonlinear Sampled-data Systems : Entwurfstechniken für nichtlineare Abtastsysteme.
Bayreuth , 2007

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Abstract

In the emulation approach to controller design for networked control systems the controller is first designed in continuous time ignoring the network and then implemented as a sampled-data controller. While very attractive for its simplicity, typically sufficiently small sampling periods are needed in order to ensure satisfactory performance of the resulting sampled-data closed loop. Thus, in the presence of network bandwidth constraints performance loss up to instability may occur. In this paper we present a variety of analytical and numerical techniques for the redesign of sampled-data controllers which improve the sampled-data performance of the non-redesigned controller and aim at reducing the necessary communication bandwidth.

Further data

Item Type:	Preprint, postprint
Additional notes (visible to public):	Erscheint in: Automatisierungstechnik. Bd. 56 (2008) Heft 1 . - S. 38-48; https://doi.org/10.1524/auto.2008.0684
DDC Subjects:	500 Science 500 Science > 510 Mathematics
Institutions of the University:	Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics V (Applied Mathematics) > Chair Mathematics V (Applied Mathematics) - Univ.-Prof. Dr. Lars Grüne Faculties Faculties > Faculty of Mathematics, Physics und Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics V (Applied Mathematics)
Language:	German
Originates at UBT:	Yes
URN:	urn:nbn:de:bvb:703-epub-5565-4
Date Deposited:	20 May 2021 07:41
Last Modified:	15 Jun 2021 10:18
URI:	https://epub.uni-bayreuth.de/id/eprint/5565

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