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  • For a large number of technical processes, it is desirable to design control strategies which allow for tracking desired state or output profiles which are repeated periodically. Such tasks are commonly solved by means of iterative learning control strategies as well as by the concept of repetitive control. Most of these before-mentioned techniques are designed in such a way that the linearity of the underlying system model is exploited. If a dynamic system is nonlinear, techniques for gain scheduling, corresponding to an online adaptation of a quasi-linear system model, are commonly applied. However, such adaptation strategies, depending on state measurements or estimated variables, have to be derived specifically for each problem at hand. Therefore, a sensitivity-based control approach is presented in this paper that can be employed for tracking control of both linear and nonlinear dynamic systems in spite of non-modeled disturbances. This control strategy makes use of a real-time capable sensitivity analysis of dynamic system models and comprises aspects of model-predictive and iterative learning control. The applicability of the corresponding algorithm is demonstrated in simulation and experiment for a distributed heating system.
  • For a large number of technical processes, it is desirable to design control strategies which allow for tracking desired state or output profiles which are repeated periodically. Such tasks are commonly solved by means of iterative learning control strategies as well as by the concept of repetitive control. Most of these before-mentioned techniques are designed in such a way that the linearity of the underlying system model is exploited. If a dynamic system is nonlinear, techniques for gain scheduling, corresponding to an online adaptation of a quasi-linear system model, are commonly applied. However, such adaptation strategies, depending on state measurements or estimated variables, have to be derived specifically for each problem at hand. Therefore, a sensitivity-based control approach is presented in this paper that can be employed for tracking control of both linear and nonlinear dynamic systems in spite of non-modeled disturbances. This control strategy makes use of a real-time capable sensitivity analysis of dynamic system models and comprises aspects of model-predictive and iterative learning control. The applicability of the corresponding algorithm is demonstrated in simulation and experiment for a distributed heating system. (en)
Title
  • A Sensitivity-Based Approach for the Control of Repetitive Processes
  • A Sensitivity-Based Approach for the Control of Repetitive Processes (en)
skos:prefLabel
  • A Sensitivity-Based Approach for the Control of Repetitive Processes
  • A Sensitivity-Based Approach for the Control of Repetitive Processes (en)
skos:notation
  • RIV/68407700:21230/13:00201252!RIV14-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • I
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
  • Dabkowski, Pawel
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 59049
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/13:00201252
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Adaptation strategies; Dynamic system models; Iterative learning control; On-line adaptation; Quasilinear system; Repetitive control; Repetitive process; Underlying systems (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [F529B71E93D0]
http://linked.open...v/mistoKonaniAkce
  • Vicenza
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  • Piscataway
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the IEEE International Conference on Mechatronics
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Galkowski, K.
  • Dabkowski, Pawel
  • Aschemann, H.
  • Dittrich, Ch.
  • Rauh, A.
  • Senkel, L.
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000324299300007
http://linked.open.../riv/zahajeniAkce
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/ICMECH.2013.6518510
http://purl.org/ne...btex#hasPublisher
  • IEEE
https://schema.org/isbn
  • 978-1-4673-1388-9
http://localhost/t...ganizacniJednotka
  • 21230
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