Please use this identifier to cite or link to this item: doi:10.22028/D291-34371
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Title: Trajectory Tracking Control for a Class of 2×2 Hyperbolic PDE-ODE Systems
Author(s): Irscheid, Abdurrahman UdsID
Gehring, Nicole
Rudolph, Joachim UdsID
Editor(s): Sepulchre, Rodolphe
Language: English
In:
Title: IFAC-PapersOnLine
Volume: 54
Issue: 9
Pages: 416-421
Publisher/Platform: Elsevier
Year of Publication: 2021
Place of the conference: Cambridge, United Kingdom
Free key words: tracking control
PDE-ODE systems
boundary control
predictor feedback
distributed parameter systems
hyperbolic systems
DDC notations: 600 Technology
Publikation type: Conference Paper
Abstract: This paper introduces an approach to trajectory tracking control of linear 2×2 hyperbolic partial differential equations (PDEs) actuated at one boundary and coupled with ordinary differential equations (ODEs) at the other one. Well-known state feedback methods that benefit from so-called backstepping coordinates are limited to the case of boundary conditions consisting of linear time-invariant ODEs. In a first step, the new approach is introduced for this restricted class of linear dynamic boundary conditions. It is shown that tracking control is immediately achieved by a surprisingly simple, yet elegant, modification of a stabilizing state feedback. Then, a direct extension for solving trajectory tracking problems for a class of nonlinear ODEs at the unactuated boundary is discussed. Numerical studies underline the performance of the proposed method.
DOI of the first publication: 10.1016/j.ifacol.2021.06.158
URL of the first publication: https://www.sciencedirect.com/science/article/pii/S2405896321006522
Link to this record: urn:nbn:de:bsz:291--ds-343713
hdl:20.500.11880/34785
http://dx.doi.org/10.22028/D291-34371
ISSN: 2405-8963
Date of registration: 19-Dec-2022
Notes: IFAC-PapersOnLine, Volume 54, Issue 9, 2021, Pages 416-421
Faculty: NT - Naturwissenschaftlich- Technische Fakultät
Department: NT - Systems Engineering
Professorship: NT - Prof. Dr. Joachim Rudolph
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes



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