Verified interval enclosure techniques for robust gain scheduling controllers

Kersten Julia and Rauh Andreas and Aschemann Harald: Verified interval enclosure techniques for robust gain scheduling controllers. In: Acta cybernetica, (24) 3. pp. 467-491. (2020)

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In real-life applications, dynamic systems are often subject to uncertainty due to model simplifications, measurement inaccuracy or approximation errors which can be mapped to specific parameters. Uncertainty in dynamic systems can come either in stochastic forms or as interval representations. The latter is applied if the uncertainty is bounded as it will be done in this paper. The main idea is to find a joint approach for an interval-based gain scheduling controller while simultaneously reducing overestimation by enclosing state intervals with the least amount of conservativity. The robust and/ or optimal control design is realized using linear matrix inequalities (LMIs) to find an efficient solution and aims at a guaranteed stabilization of the system dynamics over a predefined time horizon. A temporal reduction of the widths of intervals representing worst-case bounds of the system states at a specific point of time should occur due to asymptotic stability proven by the employed LMI-based design. However, for commonly used approaches in the computation of interval enclosures, those interval widths seemingly blow up due to the wrapping effect in many cases. To avoid this, we provide two interval enclosure techniques — an exploitation of cooperativity and an exponential approach — and discuss their applicability taking into account two real-life applications, a high-bay rack feeder and an inverse pendulum.

Item Type: Article
Heading title: Interval methods in control and robotics
Journal or Publication Title: Acta cybernetica
Date: 2020
Volume: 24
Number: 3
ISSN: 0324-721X
Page Range: pp. 467-491
Language: English
Publisher: University of Szeged, Institute of Informatics
Place of Publication: Szeged
Event Title: Summer Workshop on Interval Methods (11.) (2018) (Rostock)
Related URLs:
DOI: 10.14232/actacyb.24.3.2020.11
Uncontrolled Keywords: Számítástechnika, Kibernetika, Robotika, Vezérléstechnika
Additional Information: Bibliogr.: p. 488-491. ; összefoglalás angol nyelven
Subjects: 01. Natural sciences
01. Natural sciences > 01.02. Computer and information sciences
Date Deposited: 2020. Jul. 30. 13:32
Last Modified: 2022. Jun. 21. 09:36

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