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Observer Based Controller Design for Linear Systems with Input Constraints

Lens, Hendrik ; Adamy, Jürgen (2023)
Observer Based Controller Design for Linear Systems with Input Constraints.
In: IFAC Proceedings Volumes, 2008, 41 (2)
doi: 10.26083/tuprints-00023332
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: Observer Based Controller Design for Linear Systems with Input Constraints
Language: English
Date: 2023
Place of Publication: Darmstadt
Year of primary publication: 2008
Publisher: IFAC - International Federation of Automatic Control
Journal or Publication Title: IFAC Proceedings Volumes
Volume of the journal: 41
Issue Number: 2
DOI: 10.26083/tuprints-00023332
Corresponding Links:
Origin: Secondary publication service
Abstract:

A systematic design method for observer based linear control of LTI systems with input constraints is introduced. The method allows to optimize the observer parameters with respect to the system's performance while at the same time the compliance with the constraints is guaranteed. To improve the results we further propose a method to design both the controller and the observer simultaneously. Since the presented methods are based on LMI techniques they are computationally very efficient. The proposed methods are demonstrated by means of an example.

Uncontrolled Keywords: Linear Systems with Input Constraints, Observers, Actuator Saturation, LMIs
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-233321
Additional Information:

Zugl. Konferenzveröffentlichung: 17th IFAC World Congress, 06.-11.07.2008, Seoul, Korea

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 14:08
Last Modified: 10 Aug 2023 13:28
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/23332
PPN: 508104335
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