Distributed and networked model predictive control

Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Beitrag in Buch/Sammelwerk › Forschung › Peer-Review

Autorschaft

  • L. Grüne
  • F. Allgöwer
  • R. Findeisen
  • J. Fischer
  • D. Groß
  • U. D. Hanebeck
  • B. Kern
  • M. A. Müller
  • J. Pannek
  • M. Reble
  • O. Stursberg
  • P. Varutti
  • K. Worthmann

Externe Organisationen

  • Universität Bayreuth
  • Universität Stuttgart
  • Otto-von-Guericke-Universität Magdeburg
  • Karlsruher Institut für Technologie (KIT)
  • Universität Kassel
  • Universität der Bundeswehr München
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Titel des SammelwerksControl Theory of Digitally Networked Dynamic Systems
Herausgeber (Verlag)Springer International Publishing AG
Seiten111-167
Seitenumfang57
ISBN (elektronisch)9783319011318
ISBN (Print)9783319011301
PublikationsstatusVeröffentlicht - 1 Jan. 2014
Extern publiziertJa

Abstract

In this chapter, we consider the problem of controlling networked and distributed systems by means of model predictive control (MPC). The basic idea behind MPC is to repeatedly solve an optimal control problem based on a model of the system to be controlled. Every time a new measurement is available, the optimization problem is solved and the corresponding input sequence is applied until a new measurement arrives. As explained in the sequel, the advantages of MPC over other control strategies for networked systems are due to the fact that a model of the system is available at the controller side, which can be used to compensate for random bounded delays. At the same time, for each iteration of the optimization problem an optimal input sequence is calculated. In case of packet dropouts, one can reuse this information to maintain closed-loop stability and performance.

ASJC Scopus Sachgebiete

Zitieren

Distributed and networked model predictive control. / Grüne, L.; Allgöwer, F.; Findeisen, R. et al.
Control Theory of Digitally Networked Dynamic Systems. Springer International Publishing AG, 2014. S. 111-167.

Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Beitrag in Buch/Sammelwerk › Forschung › Peer-Review

Grüne, L, Allgöwer, F, Findeisen, R, Fischer, J, Groß, D, Hanebeck, UD, Kern, B, Müller, MA, Pannek, J, Reble, M, Stursberg, O, Varutti, P & Worthmann, K 2014, Distributed and networked model predictive control. in Control Theory of Digitally Networked Dynamic Systems. Springer International Publishing AG, S. 111-167. https://doi.org/10.1007/978-3-319-01131-8_4
Grüne, L., Allgöwer, F., Findeisen, R., Fischer, J., Groß, D., Hanebeck, U. D., Kern, B., Müller, M. A., Pannek, J., Reble, M., Stursberg, O., Varutti, P., & Worthmann, K. (2014). Distributed and networked model predictive control. In Control Theory of Digitally Networked Dynamic Systems (S. 111-167). Springer International Publishing AG. https://doi.org/10.1007/978-3-319-01131-8_4
Grüne L, Allgöwer F, Findeisen R, Fischer J, Groß D, Hanebeck UD et al. Distributed and networked model predictive control. in Control Theory of Digitally Networked Dynamic Systems. Springer International Publishing AG. 2014. S. 111-167 doi: 10.1007/978-3-319-01131-8_4
Grüne, L. ; Allgöwer, F. ; Findeisen, R. et al. / Distributed and networked model predictive control. Control Theory of Digitally Networked Dynamic Systems. Springer International Publishing AG, 2014. S. 111-167
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AU - Groß, D.

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AU - Kern, B.

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AU - Pannek, J.

AU - Reble, M.

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